Developer docs
API playgroundTry for free, no card

Search company profiles

Synod

Full company profile

uuid0037vef

Namestring
Synod
Legal namestring
Synod IntelliCare Inc.
Company typeenum
Private
Founded yearint
2025
Descriptiontext

Synod IntelliCare is a Toronto-based healthcare technology company building the HAIQ (Healthcare AI Intelligence & Quality Assurance) Platform, a purpose-built solution for detecting and mitigating algorithmic bias in clinical AI systems at the point of care. The core product, DDFA (Data Diversity Fairness Auditor), integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR R4 and delivers real-time, sub-200ms fairness alerts to clinicians by analyzing AI-driven clinical decisions against demographic fairness benchmarks across six metric families, including demographic parity, equalized odds, calibration by subgroup, and false-negative disparity ratios. The platform is complemented by six modules: ATET (algorithmic transparency and explainability via SHAP and LIME), DIS (decision impact simulation), SEDLP (stakeholder engagement and compliance dashboards), DDPA (data dependency and provenance), the Clinical Relevance Dashboard, and free self-service assessment tools (Ethical AI Maturity Assessment and HARMQA Readiness Assessment).

The company sells primarily through a Design Partner Program targeting mid-to-large hospitals and health systems with 200+ beds in North America, with annual subscription pricing between $50,000 and $100,000 per facility and an 18-month projected payback supported by $2.4M in estimated three-year cost avoidance per 400-bed facility. The platform is explicitly designed to address three active regulatory frameworks — ACA Section 1557, the Colorado AI Act (enforcement June 30, 2026), and the EU AI Act high-risk classification — alongside Canadian frameworks including AIDA, Bill C-27, Health Canada's Good Machine Learning Practice, and OCAP data sovereignty principles for Indigenous health. The company has established academic research collaborations with York University, Université de Sherbrooke, and Sheridan College, generates peer-reviewed validation through emergency physician surveys and clinical validation interviews across Canada, and is supported by a four-person founding team spanning AI architecture (PhD in Computer Science), clinical leadership (20+ years in nursing and Indigenous health advocacy), engineering and operations, and enterprise sales.

Short descriptiontext

Synod IntelliCare is a Toronto-based healthcare AI company building the HAIQ Platform to detect and mitigate algorithmic bias in clinical AI at the point of care, selling to mid-to-large North American hospitals via subscription and a Design Partner Program.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersToronto, Canada
HQ citystring
Toronto
HQ countrystring
Canada
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
healthcare AI fairness, algorithmic bias detection, clinical decision support, EHR-integrated AI platform, healthcare compliance software
Industry5 codes
1Model Monitoring, Accountability & Incident Management
CodeHDAAAMAFPrimaryYes
2Audit, Explainability & Accountability Tooling (traceability, reporting)
CodeHDAAAKALPrimaryNo
3Responsible AI, AI Governance & Compliance Services
CodeBPAEAHAJPrimaryNo
4Documentation & Reporting Automation (Model Cards, Datasheets, Impact Assessments)
CodeHDAAAMAJPrimaryNo
5Ethical Data Sourcing, Consent & Data Provenance
CodeHDAAAMAIPrimaryNo
NAICS code2 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services5415
SIC code3 codes
  • Services-Prepackaged Software7372
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Integrated Systems Design7373
Product category
Healthcare AI Fairness and Bias Detection Software
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model2 records
1Design Partner Program - DDFA Platform
TypeSubscription Recurring
Description

Annual or multi-year subscription for DDFA platform deployment plus the Ethical AI Maturity Assessment. Design Partner pricing from $50k-$100k delivers measurable ROI within 12 months for 400-bed facilities. Revenue is recurring, subscription-based with co-development input and public case study as value add.

synodintellicare.com
2Use-Case-Specific Implementations
TypeSubscription Recurring
Description

Domain-specific deployments (e.g., DDFA for Pain Management, DDFA for Pre-Hospital Transport Equity, DDFA for Sepsis Detection) sold as module add-ons or separate contracts to existing platform customers, enabling land-and-expand motion within health system accounts.

synodintellicare.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Pricing details3 tiers
1Design Partner Entry - DDFA + Maturity Assessment
ModelSubscriptionBilling cadenceAnnual
Notes

$50,000 entry price covering DDFA platform deployment and the Ethical AI Maturity Assessment. Designed for 400-bed facilities with 18-month payback period and $2.4M estimated 3-year cost avoidance.

synodintellicare.com
2Design Partner Full - DDFA + Full Platform Suite
ModelSubscriptionBilling cadenceAnnual
Notes

$50k-$100k range for full platform deployment including DDFA, Clinical Relevance Dashboard, and supporting modules. Delivers measurable ROI within 12 months for 400-bed facilities.

synodintellicare.com
3Use-Case-Specific Modules
ModelSubscriptionBilling cadenceAnnual
Notes

Module-specific pricing for domain deployments (e.g., DDFA for Pain Management, DDFA for Pre-Hospital Transport Equity). Sold as add-ons or separate contracts to existing platform customers.

synodintellicare.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 8 records shown
1DDFA (Data Diversity Fairness Auditor)
Description

Real-time analysis platform for AI-driven clinical decisions to surface and flag demographic disparities at the point of care.

synodintellicare.com
+7 more records
Core offering1 text field

Synod IntelliCare builds and sells the HAIQ Platform — a healthcare AI fairness and bias detection suite anchored by its DDFA (Data Diversity Fairness Auditor) engine, which integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR R4 to surface and flag demographic disparities in AI-assisted clinical decisions at the point of care in under 200ms. The platform is sold to mid-to-large hospitals and health systems via a Design Partner Program (annual subscriptions of $50K–$100K), complemented by free self-service Ethical AI Maturity and HARMQA assessments used for lead generation and readiness benchmarking.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 8 values shown
  • 19% reduction in missed sepsis alerts among older adult patient cohorts through targeted bias auditing
+7 more records
Product overview1 text field

Synod IntelliCare offers a unified platform-plus-modules architecture built around its Healthcare AI Intelligence & Quality Assurance (HAIQ) Platform. The core product is the DDFA (Data Diversity Fairness Auditor), a real-time bias detection and fairness monitoring tool that integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR API. Surrounding the DDFA are six complementary modules: ATET (Algorithmic Transparency & Explainer Tool) for explainability, DIS (Decision Impact Simulator) for pre-deployment impact forecasting, SEDLP (Stakeholder Engagement Dashboard & Launch Platform) for organizational reporting, DDPA (Data Dependency & Provenance Analyzer) for data lineage tracking, and the Clinical Relevance Dashboard for clinician-ready workflow guidance. Two free assessment tools—the Ethical AI Maturity Assessment and HARMQA Readiness Assessment—serve as entry points to the platform. The entire suite is designed to help healthcare organizations move from bias detection to continuous equity performance.

Product and service5 records
1DDFA (Data Diversity Fairness Auditor)
CategoryCore Platform Module — Real-Time Bias Detection
Description

Real-time analysis of AI-driven clinical decisions to surface and flag demographic disparities before they reach the patient. EHR-native, clinician-facing alerts at the point of care with sub-200ms target latency, tracking six fairness metric families per model. For mid-to-large hospitals and health systems running AI-assisted clinical workflows.

2HAIQ Platform (Healthcare AI Intelligence & Quality Assurance)
CategoryEnterprise Platform
Description

Umbrella platform that brings together seven integrated solutions for bias detection, fairness monitoring, transparency, decision impact simulation, stakeholder engagement, and data provenance across healthcare AI deployments. Provides governance, clinical, data, regulatory, and equity management capabilities for hospital and health system customers.

3Clinical Relevance Dashboard
CategoryPlatform Module — Clinician Workflow Dashboard
Description

Translates DDFA fairness signals into clinician-ready workflow guidance with real-time disparity alerts and actionable equity metrics administrators and data scientists can act on. Addresses OHRC AI Impact Assessment, Disparate Impact Analysis, and Health Canada GMLP framework requirements.

4Ethical AI Maturity Assessment
CategorySelf-Service Assessment Tool
Description

Structured 15-minute assessment benchmarking organizational AI fairness readiness across governance, clinical workflow, data practices, and regulatory preparedness. Free self-service tool available online that serves as a top-of-funnel lead generation and readiness benchmarking product for hospital quality leaders and compliance officers.

5HARMQA Readiness Assessment
CategorySelf-Service Assessment Tool
Description

Healthcare AI Risk Management and Quality Assurance Readiness Tool that benchmarks readiness across seven domains: AI governance, data quality, clinical workflow integration, regulatory compliance, technical infrastructure, workforce training, and continuous monitoring. Free self-service assessment.

Scale indicator11 records

Each record includes

Type, Value, Description, Source

Partnership5 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

AI ethics, health informatics, and equity-centred research collaboration. York University is a formal academic partner for joint research and publications, including a collaboration on bias variability in healthcare settings and DDFA platform usability studies. The Connected Minds CFREF initiative funds a research project titled 'Towards Fair and Reliable Large Language Models in Healthcare,' co-led by Dr. Ines Arous of York University.

2Université de Sherbrooke
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

Francophone health AI and clinical validation partnership. Université de Sherbrooke is a formal academic partner collaborating on bias variability research and DDFA clinical validation. Dr. Afaf Taik of Université de Sherbrooke co-leads the Connected Minds CFREF research project alongside Dr. Ines Arous of York University.

synodintellicare.com
Strategic tierSupportingTypeTechnology or IntegrationAnnounced on2026-03-01
Description

Applied AI, design thinking, and health technology innovation partnership. Sheridan College contributes applied technology expertise and design thinking methodology to the Synod platform development ecosystem.

Strategic tierSupportingTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

Prestigious initiative in southern Ontario that brings together innovators, university researchers, clinicians, and commercialization experts to validate and accelerate digital health solutions. Synod IntelliCare participated in early 2026, worked with university students to craft a commercialization plan, presented at the showcase, and received a prize in recognition of their work. The competition provided ecosystem validation, mentorship, and connections within the regional health innovation network.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Design Partner hospitals and Community Health Centres providing clinical validation and pilot deployment sites for DDFA platform. These clinical partners conduct real-world bias detection, sepsis alert equity analysis, pain management fairness audits, and triage equity studies. They also provide feedback that shapes product roadmap and generates public case studies.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

ML experiment tracking, model monitoring, and MLOps platform with bias/drift tracking capabilities. Broader incumbent in model observability that could expand down-market into healthcare fairness; serves the data-science buyer rather than the clinical-point-of-care workflow.

TypeDirect peer
Description

AI model monitoring, explainability, and fairness platform. Closest comparable on fairness-metric monitoring and bias detection across the model lifecycle, though lacks Synod's clinical point-of-care EHR-native integration.

TypeBroad incumbent
Description

Enterprise AI platform with model governance, bias detection, and healthcare vertical solutions. Broader incumbent that could extend its governance suite into healthcare-specific fairness monitoring; comparable regulatory-compliance positioning at the data-science buyer layer.

TypeDirect peer
Description

AI model explainability, fairness, and monitoring platform acquired by Snowflake. Most directly comparable to Synod's ATET explainability and DDFA model-monitoring capabilities, though general-purpose across industries rather than healthcare-specialized.

TypeDirect peer
Description

AI bias auditing and risk management platform. Comparable on bias auditing and governance, though a smaller emerging player without Synod's healthcare-clinical-validation depth.

TypeDirect peer
Description

AI governance, risk, and compliance platform with bias auditing and regulatory readiness tooling. Comparable to Synod's regulatory-compliance and audit-documentation positioning (ACA Section 1557, EU AI Act), though aimed at governance teams rather than point-of-care clinical alerts.

TypeDirect peer
Description

AI governance, risk, and compliance platform with bias auditing and regulatory alignment. Comparable regulatory-grade documentation and audit capabilities, though general-purpose rather than healthcare-specific.

TypeDirect peer
Description

AI observability and model performance monitoring platform with bias and fairness tracking. Comparable to Synod's continuous monitoring and SEDLP dashboarding capabilities, though not healthcare-specialized.

TypeBroad incumbent
Description

Microsoft's open-source Fairlearn toolkit and Azure ML fairness dashboards. A broad incumbent with embedded fairness tooling inside a major cloud platform; not healthcare-specialized but free/embedded pricing creates a cost-side competitive threat for non-clinical stakeholders.

TypeEmerging player
Description

Healthcare-specific AI platform for predictive risk models and clinical workflows. Comparable healthcare-AI focus and customer base (payers/providers), though focused on predictive modeling rather than fairness auditing — a natural integration or adjacent-vendor candidate.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment6 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration4 records

Each record includes

Title, Type, Description, Source

AI capability5 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Synod

Healthcare AI Fairness and Bias Detection Softwaresynodintellicare.com

Synod IntelliCare is a Toronto-based healthcare AI company building the HAIQ Platform to detect and mitigate algorithmic bias in clinical AI at the point of care, selling to mid-to-large North American hospitals via subscription and a Design Partner Program.

What Synod does

Synod IntelliCare is a Toronto-based healthcare technology company building the HAIQ (Healthcare AI Intelligence & Quality Assurance) Platform, a purpose-built solution for detecting and mitigating algorithmic bias in clinical AI systems at the point of care. The core product, DDFA (Data Diversity Fairness Auditor), integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR R4 and delivers real-time, sub-200ms fairness alerts to clinicians by analyzing AI-driven clinical decisions against demographic fairness benchmarks across six metric families, including demographic parity, equalized odds, calibration by subgroup, and false-negative disparity ratios. The platform is complemented by six modules: ATET (algorithmic transparency and explainability via SHAP and LIME), DIS (decision impact simulation), SEDLP (stakeholder engagement and compliance dashboards), DDPA (data dependency and provenance), the Clinical Relevance Dashboard, and free self-service assessment tools (Ethical AI Maturity Assessment and HARMQA Readiness Assessment).

The company sells primarily through a Design Partner Program targeting mid-to-large hospitals and health systems with 200+ beds in North America, with annual subscription pricing between $50,000 and $100,000 per facility and an 18-month projected payback supported by $2.4M in estimated three-year cost avoidance per 400-bed facility. The platform is explicitly designed to address three active regulatory frameworks — ACA Section 1557, the Colorado AI Act (enforcement June 30, 2026), and the EU AI Act high-risk classification — alongside Canadian frameworks including AIDA, Bill C-27, Health Canada's Good Machine Learning Practice, and OCAP data sovereignty principles for Indigenous health. The company has established academic research collaborations with York University, Université de Sherbrooke, and Sheridan College, generates peer-reviewed validation through emergency physician surveys and clinical validation interviews across Canada, and is supported by a four-person founding team spanning AI architecture (PhD in Computer Science), clinical leadership (20+ years in nursing and Indigenous health advocacy), engineering and operations, and enterprise sales.

Synod firmographics

Firmographics
Name
Synod
Legal name
Synod IntelliCare Inc.
Website
https://synodintellicare.com
Company type
Private
Founded year
2025
Operating status
Operating
Headcount range
1–10 employees
Short description
Synod IntelliCare is a Toronto-based healthcare AI company building the HAIQ Platform to detect and mitigate algorithmic bias in clinical AI at the point of care, selling to mid-to-large North American hospitals via subscription and a Design Partner Program.
Ownership category
akta.pro rank

Synod industry classification

Industry
Product category
Healthcare AI Fairness and Bias Detection Software
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (5415)
SIC
Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
Model Monitoring, Accountability & Incident Management (HDAAAMAF)
akta.pro secondary industries
Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ), Documentation & Reporting Automation (Model Cards, Datasheets, Impact Assessments) (HDAAAMAJ), Ethical Data Sourcing, Consent & Data Provenance (HDAAAMAI)

Keywords

  • Healthcare AI fairness
  • Algorithmic bias detection
  • Clinical decision support
  • EHR-integrated AI platform
  • Healthcare compliance software

Where Synod is headquartered

Location

Headquarters

HQ city
Toronto
HQ country
Canada
HQ region
North America

Offices1 record

Markets served

Synod business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. Design Partner Program - DDFA Platform: Annual or multi-year subscription for DDFA platform deployment plus the Ethical AI Maturity Assessment. Design Partner pricing from $50k-$100k delivers measurable ROI within 12 months for 400-bed facilities. Revenue is recurring, subscription-based with co-development input and public case study as value add.
  2. Use-Case-Specific Implementations: Domain-specific deployments (e.g., DDFA for Pain Management, DDFA for Pre-Hospital Transport Equity, DDFA for Sepsis Detection) sold as module add-ons or separate contracts to existing platform customers, enabling land-and-expand motion within health system accounts.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualDesign Partner Entry - DDFA + Maturity Assessment
SubscriptionAnnualDesign Partner Full - DDFA + Full Platform Suite
SubscriptionAnnualUse-Case-Specific Modules

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Synod product offering

Product offering

Core offering

Synod IntelliCare builds and sells the HAIQ Platform — a healthcare AI fairness and bias detection suite anchored by its DDFA (Data Diversity Fairness Auditor) engine, which integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR R4 to surface and flag demographic disparities in AI-assisted clinical decisions at the point of care in under 200ms. The platform is sold to mid-to-large hospitals and health systems via a Design Partner Program (annual subscriptions of $50K–$100K), complemented by free self-service Ethical AI Maturity and HARMQA assessments used for lead generation and readiness benchmarking.

Product overview

Synod IntelliCare offers a unified platform-plus-modules architecture built around its Healthcare AI Intelligence & Quality Assurance (HAIQ) Platform. The core product is the DDFA (Data Diversity Fairness Auditor), a real-time bias detection and fairness monitoring tool that integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR API. Surrounding the DDFA are six complementary modules: ATET (Algorithmic Transparency & Explainer Tool) for explainability, DIS (Decision Impact Simulator) for pre-deployment impact forecasting, SEDLP (Stakeholder Engagement Dashboard & Launch Platform) for organizational reporting, DDPA (Data Dependency & Provenance Analyzer) for data lineage tracking, and the Clinical Relevance Dashboard for clinician-ready workflow guidance. Two free assessment tools—the Ethical AI Maturity Assessment and HARMQA Readiness Assessment—serve as entry points to the platform. The entire suite is designed to help healthcare organizations move from bias detection to continuous equity performance.

Differentiator

Problem solved

Functional benefit

Brands

  • DDFA (Data Diversity Fairness Auditor): Real-time analysis platform for AI-driven clinical decisions to surface and flag demographic disparities at the point of care.
  • HAIQ Platform (Healthcare AI Intelligence & Quality Assurance)
  • ATET (Algorithmic Transparency & Explainer Tool)
  • DIS (Decision Impact Simulator)
  • SEDLP (Stakeholder Engagement Dashboard & Launch Platform)
  • DDPA (Data Dependency & Provenance Analyzer)
  • Clinical Relevance Dashboard
  • Ethical AI Maturity Assessment

Products and services

  • DDFA (Data Diversity Fairness Auditor) Real-time analysis of AI-driven clinical decisions to surface and flag demographic disparities before they reach the patient. EHR-native, clinician-facing alerts at the point of care with sub-200ms target latency, tracking six fairness metric families per model. For mid-to-large hospitals and health systems running AI-assisted clinical workflows.
  • HAIQ Platform (Healthcare AI Intelligence & Quality Assurance) Umbrella platform that brings together seven integrated solutions for bias detection, fairness monitoring, transparency, decision impact simulation, stakeholder engagement, and data provenance across healthcare AI deployments. Provides governance, clinical, data, regulatory, and equity management capabilities for hospital and health system customers.
  • Clinical Relevance Dashboard Translates DDFA fairness signals into clinician-ready workflow guidance with real-time disparity alerts and actionable equity metrics administrators and data scientists can act on. Addresses OHRC AI Impact Assessment, Disparate Impact Analysis, and Health Canada GMLP framework requirements.
  • Ethical AI Maturity Assessment Structured 15-minute assessment benchmarking organizational AI fairness readiness across governance, clinical workflow, data practices, and regulatory preparedness. Free self-service tool available online that serves as a top-of-funnel lead generation and readiness benchmarking product for hospital quality leaders and compliance officers.
  • HARMQA Readiness Assessment Healthcare AI Risk Management and Quality Assurance Readiness Tool that benchmarks readiness across seven domains: AI governance, data quality, clinical workflow integration, regulatory compliance, technical infrastructure, workforce training, and continuous monitoring. Free self-service assessment.

Quantifiable outcome

  • 19% reduction in missed sepsis alerts among older adult patient cohorts through targeted bias auditing
  • +7 more outcomes

Companies that use Synod

Customer profile

Named customers1 record

Segments6 records

Ideal customer profiles4 records

Synod technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability5 records

Feature6 records

Synod partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered core and supporting.

  • York UniversitycoreStrategic or Co-development Partner · 1 March 2026AI ethics, health informatics, and equity-centred research collaboration. York University is a formal academic partner for joint research and publications, including a collaboration on bias variability in healthcare settings and DDFA platform usability studies. The Connected Minds CFREF initiative funds a research project titled 'Towards Fair and Reliable Large Language Models in Healthcare,' co-led by Dr. Ines Arous of York University.
  • Université de SherbrookecoreStrategic or Co-development Partner · 1 March 2026Francophone health AI and clinical validation partnership. Université de Sherbrooke is a formal academic partner collaborating on bias variability research and DDFA clinical validation. Dr. Afaf Taik of Université de Sherbrooke co-leads the Connected Minds CFREF research project alongside Dr. Ines Arous of York University.
  • Sheridan CollegesupportingTechnology or Integration · 1 March 2026Applied AI, design thinking, and health technology innovation partnership. Sheridan College contributes applied technology expertise and design thinking methodology to the Synod platform development ecosystem.
  • Synapse Life Science CompetitionsupportingStrategic or Co-development Partner · 1 March 2026Prestigious initiative in southern Ontario that brings together innovators, university researchers, clinicians, and commercialization experts to validate and accelerate digital health solutions. Synod IntelliCare participated in early 2026, worked with university students to craft a commercialization plan, presented at the showcase, and received a prize in recognition of their work. The competition provided ecosystem validation, mentorship, and connections within the regional health innovation network.
  • Select Hospitals & Community Health Centres (Design Partner Program)coreStrategic or Co-development PartnerDesign Partner hospitals and Community Health Centres providing clinical validation and pilot deployment sites for DDFA platform. These clinical partners conduct real-world bias detection, sepsis alert equity analysis, pain management fairness audits, and triage equity studies. They also provide feedback that shapes product roadmap and generates public case studies.

Scale indicators11 records

Recent moves6 records

Expansion highlights6 records

Synod competitors and assessment

Company assessment

Broad incumbents

  • Weights & Biases: ML experiment tracking, model monitoring, and MLOps platform with bias/drift tracking capabilities. Broader incumbent in model observability that could expand down-market into healthcare fairness; serves the data-science buyer rather than the clinical-point-of-care workflow.
  • DataRobot: Enterprise AI platform with model governance, bias detection, and healthcare vertical solutions. Broader incumbent that could extend its governance suite into healthcare-specific fairness monitoring; comparable regulatory-compliance positioning at the data-science buyer layer.
  • Microsoft Azure Machine Learning (Fairlearn): Microsoft's open-source Fairlearn toolkit and Azure ML fairness dashboards. A broad incumbent with embedded fairness tooling inside a major cloud platform; not healthcare-specialized but free/embedded pricing creates a cost-side competitive threat for non-clinical stakeholders.

Direct peers

  • Fiddler AI: AI model monitoring, explainability, and fairness platform. Closest comparable on fairness-metric monitoring and bias detection across the model lifecycle, though lacks Synod's clinical point-of-care EHR-native integration.
  • Truera: AI model explainability, fairness, and monitoring platform acquired by Snowflake. Most directly comparable to Synod's ATET explainability and DDFA model-monitoring capabilities, though general-purpose across industries rather than healthcare-specialized.
  • Fairly AI: AI bias auditing and risk management platform. Comparable on bias auditing and governance, though a smaller emerging player without Synod's healthcare-clinical-validation depth.
  • Credo AI: AI governance, risk, and compliance platform with bias auditing and regulatory readiness tooling. Comparable to Synod's regulatory-compliance and audit-documentation positioning (ACA Section 1557, EU AI Act), though aimed at governance teams rather than point-of-care clinical alerts.
  • Holistic AI: AI governance, risk, and compliance platform with bias auditing and regulatory alignment. Comparable regulatory-grade documentation and audit capabilities, though general-purpose rather than healthcare-specific.
  • Arthur AI: AI observability and model performance monitoring platform with bias and fairness tracking. Comparable to Synod's continuous monitoring and SEDLP dashboarding capabilities, though not healthcare-specialized.

Emerging players

  • ClosedLoop.ai: Healthcare-specific AI platform for predictive risk models and clinical workflows. Comparable healthcare-AI focus and customer base (payers/providers), though focused on predictive modeling rather than fairness auditing — a natural integration or adjacent-vendor candidate.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

Synod social profiles

Digital presence

Synod compliance and trust

Trust signal

Compliance2 records

Synod financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Synod leadership team

Management profile

Number of profiles

Profiles4 records

Synod funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Synod M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Synod

What does Synod do?

Synod IntelliCare builds and sells the HAIQ Platform — a healthcare AI fairness and bias detection suite anchored by its DDFA (Data Diversity Fairness Auditor) engine, which integrates natively with Epic, Cerner, and MEDITECH via HL7 FHIR R4 to surface and flag demographic disparities in AI-assisted clinical decisions at the point of care in under 200ms. The platform is sold to mid-to-large hospitals and health systems via a Design Partner Program (annual subscriptions of $50K–$100K), complemented by free self-service Ethical AI Maturity and HARMQA assessments used for lead generation and readiness benchmarking.

Is Synod a public or private company?

Synod is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Synod founded?

Synod was founded in 2025. It employs 1 to 10 people.

Where is Synod based?

Synod is headquartered in Toronto, Canada, in the North America region.

How does Synod make money?

Two revenue lines are on record. Design Partner Program - DDFA Platform is the primary driver. The others are use-Case-Specific Implementations.

Who are Synod's main competitors?

Broad incumbents on record are Weights & Biases, DataRobot and Microsoft Azure Machine Learning (Fairlearn). Direct peers are Fiddler AI, Truera, Fairly AI, Credo AI, Holistic AI and Arthur AI. ClosedLoop.ai is listed as an emerging player.

Does Synod have an API?

No public API is recorded for Synod.

What industry is Synod in?

Synod's product category is Healthcare AI Fairness and Bias Detection Software. Its primary akta.pro industry code is HDAAAMAF, Model Monitoring, Accountability & Incident Management, with a secondary code of HDAAAKAL, Audit, Explainability & Accountability Tooling (traceability, reporting). Its NAICS code is 5132 and its SIC code is 7372.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales