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Empiric, Inc.

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uuid000947b

Namestring
Empiric, Inc.
Legal namestring
Empiric Strategies Pte Ltd
Websiteurl
empiric.io
Company typeenum
Private
Founded yearint
2020
Descriptiontext

Empiric, Inc. (trading as Empiric AI; legal entity Empiric Strategies Pte Ltd, incorporated in Singapore) builds bespoke AI infrastructure for sovereign governments, financial institutions, global brands, and industrial operators. The firm is organized around four practice areas — Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI — and delivers through a three-phase engagement model (Strategy, Delivery, Operations) in which the same engineers who shape strategy also build the system. Rather than a productized platform, every engagement is a custom mandate governed by separate written agreements and priced on a quote basis; reference deployments include a national sustainability tracking platform monitoring $150M across 27 initiatives, an AI investment-committee member reviewing 150+ motions across 90 risk dimensions for a $4B-AUM family office, an $8B-TAM financial modeling engine for a luxury brand's new-market entry, and an end-to-end supply chain platform integrating 80 suppliers and tracking $300M in catalog value.

The underlying technology architecture treats AI models as interchangeable components rather than foundational dependencies, with systems deployed on client infrastructure (on-premise, private cloud, or hybrid) using client-controlled keys and configurable data residency across EU, US, UK, GCC, and APAC jurisdictions. The stack emphasizes governance, audit trails, evaluation harnesses, and documentation, with full reasoning shown for every recommendation; this is positioned as infrastructure designed to absorb model and vendor changes rather than be broken by them. Compliance frameworks — SOC 2, ISO 27001, HIPAA, GDPR — are designed into the system from inception, with quarterly live-system reviews.

Empiric generates revenue through enterprise AI infrastructure services billed as managed services and professional services. Go-to-market is exclusively direct enterprise field sales, initiated through a thirty-minute confidential briefing conversation, with no channel partners, resellers, or self-serve distribution. The firm operates from Singapore (registered headquarters), Dubai (Emirates Towers, DIFC, regional Gulf headquarters), and Hong Kong, and reports $12.4B under decision-intelligence systems, 37 production mandates since 2019, 94% client retention beyond first engagement, and a customer roster that includes BMW, Gucci, Versace, Porsche, Red Bull, Starbucks, DAMAC, and Dunkin'.

Short descriptiontext

Empiric AI builds bespoke AI infrastructure — sovereign, institutional, enterprise, and industrial — for governments, financial institutions, global brands, and physical-world operators, delivering through direct, quote-based engagements.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices3 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI infrastructure services, decision intelligence systems, enterprise AI consulting, sovereign AI platforms, industrial AI solutions
Industry4 codes
1End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryYes
2Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies)
CodeHDAEANAEPrimaryNo
3AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI)
CodeHDAEANAIPrimaryNo
4Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
NAICS code2 codes
  • Computer Systems Design Services541512
  • Computer Systems Design and Related Services5415
SIC code2 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Computer Programming Services7371
Product category
AI Infrastructure Services
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Enterprise AI Infrastructure Services
TypeManaged Services
Description

Custom AI infrastructure engagements for sovereign, institutional, enterprise, and industrial clients. Engagements begin with strategic assessment, proceed through delivery and integration, and include operational support post-launch. Revenue derived from professional services and managed services associated with building and operating custom AI systems. Engagements are governed by separate written agreements.

empiric.io
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

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

Cost components5 values
Personnel, Operations, Technology or R&D, Marketing or Sales, Others
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

Empiric builds AI as durable, inheritable infrastructure for sovereign governments, banks and family offices, global brands, and industrial operators, delivering bespoke mandates that integrate data, workflow logic, governance, evaluation harnesses, and operational layers. Engagements run through three phases — Strategy, Delivery, and Operations — and are organized around four practice areas: Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI. Systems are deployed on client infrastructure (on-premise, private cloud, or hybrid) with client-controlled keys and configurable data residency across EU, US, UK, GCC, and APAC jurisdictions.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 8 values shown
  • US$12.4bn under decision-intelligence systems
+7 more records
Product overview1 text field

Empiric AI operates as a single unified AI services company organized around four practice areas: Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI. Rather than a productized platform, Empiric delivers bespoke AI mandates tailored to each client's specific requirements. The company's engagement approach follows three phases—Strategy, Delivery, and Operations—where engineers who shaped the strategy also build the system. Each practice area targets a distinct market segment: governments and ministries (Sovereign AI), banks and family offices (Institutional AI), global brands (Enterprise AI), and infrastructure/logistics operators (Industrial AI). Client work includes national sustainability tracking platforms, AI investment committee members, financial modeling engines for market entry, and global supply chain visibility platforms.

Product and service4 records
1Sovereign AI
CategorySovereign AI Services
Description

Bespoke AI infrastructure mandate for governments, ministries, and state-owned enterprises, designed around national platforms for tracking and verifying state-funded initiatives. Engagements are delivered on the client's terms — on-premise, private cloud, or hybrid — with data residency managed to national jurisdictions and built against SOC 2, ISO 27001, HIPAA, and GDPR frameworks.

2Institutional AI
CategoryInstitutional AI Services
Description

Bespoke AI infrastructure mandate for banks, family offices, and regulated capital institutions, built so that every decision is defensible and every model is audit-ready. Engagements include AI investment committee members and continuous risk-review systems across large motion counts, with full reasoning shown for every recommendation.

3Enterprise AI
CategoryEnterprise AI Services
Description

Bespoke AI infrastructure mandate for global brands, maisons, and marques operating at scale where the brand is the primary asset. Engagements centre on financial modeling engines, supply/distribution/demand modeling, and brand-asset optimization for new-market entry and other defensible strategic decisions.

4Industrial AI
CategoryIndustrial AI Services
Description

Bespoke AI infrastructure mandate for infrastructure, energy, logistics, and grid operators requiring AI built for the physical world and engineered for scale. Engagements deliver end-to-end supply chain visibility platforms, real-time disruption monitoring across multiple categories, and downstream impact modeling to protect customer commitments.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight4 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Enterprise AI platform and applications company delivering bespoke AI systems to large enterprises and government agencies; comparable in custom-model-deployment orientation and target buyer (Fortune 500 / public sector), though more productized than Empiric's services model.

TypeDirect peer
Description

Provides AI infrastructure, evaluation, and deployment services to enterprises, governments, and frontier-model builders; comparable in custom AI system delivery to sophisticated institutional buyers, though Scale leans more toward data/evaluation than governance-and-audit positioning.

TypeBroad incumbent
Description

BCG's data science and AI consulting practice serving large enterprises globally; comparable in high-touch custom AI delivery to strategic buyers, with a similar investment-committee / decision-support narrative.

TypeDirect peer
Description

Enterprise AI platform with strong regulated-industry (banking, insurance, healthcare) footprint and open-source model deployment options; comparable in serving audit-sensitive buyers and offering on-premise deployment models.

TypeBroad incumbent
Description

IBM's enterprise AI platform and consulting arm targeting regulated industries (banking, government, healthcare) with strong governance and audit positioning; competes for the same institutional AI budgets via a broader product-plus-services offering.

TypeDirect peer
Description

Builds data and AI infrastructure (Foundry, Gotham) for governments, financial institutions, and large enterprises with an emphasis on auditability, deployment on client infrastructure, and regulated-industry use cases — the closest functional analogue to Empiric's sovereign and institutional AI practices.

TypeDirect peer
Description

Enterprise AI/ML platform with deep deployment and lifecycle management capabilities for regulated industries; comparable in serving institutions that need auditable, governed AI deployments across their data estate.

TypeBroad incumbent
Description

Global professional services firm with a large dedicated AI practice (Accenture AI, including acquisitions like Mudano) serving exactly the same Fortune 500 / regulated-buyer segment as Empiric; competes on global delivery scale rather than architectural differentiation.

TypeBroad incumbent
Description

McKinsey's AI and analytics arm, delivering custom decision-intelligence and AI infrastructure to C-suite buyers in financial services, luxury, and industrials — overlaps Empiric's enterprise-AI practice area at the strategy-to-delivery interface.

TypeEmerging player
Description

UK-based applied AI services firm building decision-support and forecasting systems for regulated enterprises and government; closely comparable in custom-AI-for-institutions positioning and 'AI as decision infrastructure' narrative, though smaller and Europe-focused.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers12 records

Each record includes

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

Segment4 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

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 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
Compliance4 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 →

Empiric, Inc.

AI Infrastructure Servicesempiric.io

Empiric AI builds bespoke AI infrastructure — sovereign, institutional, enterprise, and industrial — for governments, financial institutions, global brands, and physical-world operators, delivering through direct, quote-based engagements.

What Empiric, Inc. does

Empiric, Inc. (trading as Empiric AI; legal entity Empiric Strategies Pte Ltd, incorporated in Singapore) builds bespoke AI infrastructure for sovereign governments, financial institutions, global brands, and industrial operators. The firm is organized around four practice areas — Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI — and delivers through a three-phase engagement model (Strategy, Delivery, Operations) in which the same engineers who shape strategy also build the system. Rather than a productized platform, every engagement is a custom mandate governed by separate written agreements and priced on a quote basis; reference deployments include a national sustainability tracking platform monitoring $150M across 27 initiatives, an AI investment-committee member reviewing 150+ motions across 90 risk dimensions for a $4B-AUM family office, an $8B-TAM financial modeling engine for a luxury brand's new-market entry, and an end-to-end supply chain platform integrating 80 suppliers and tracking $300M in catalog value.

The underlying technology architecture treats AI models as interchangeable components rather than foundational dependencies, with systems deployed on client infrastructure (on-premise, private cloud, or hybrid) using client-controlled keys and configurable data residency across EU, US, UK, GCC, and APAC jurisdictions. The stack emphasizes governance, audit trails, evaluation harnesses, and documentation, with full reasoning shown for every recommendation; this is positioned as infrastructure designed to absorb model and vendor changes rather than be broken by them. Compliance frameworks — SOC 2, ISO 27001, HIPAA, GDPR — are designed into the system from inception, with quarterly live-system reviews.

Empiric generates revenue through enterprise AI infrastructure services billed as managed services and professional services. Go-to-market is exclusively direct enterprise field sales, initiated through a thirty-minute confidential briefing conversation, with no channel partners, resellers, or self-serve distribution. The firm operates from Singapore (registered headquarters), Dubai (Emirates Towers, DIFC, regional Gulf headquarters), and Hong Kong, and reports $12.4B under decision-intelligence systems, 37 production mandates since 2019, 94% client retention beyond first engagement, and a customer roster that includes BMW, Gucci, Versace, Porsche, Red Bull, Starbucks, DAMAC, and Dunkin'.

Empiric, Inc. firmographics

Firmographics
Name
Empiric, Inc.
Legal name
Empiric Strategies Pte Ltd
Website
https://empiric.io
Company type
Private
Founded year
2020
Operating status
Operating
Headcount range
1–10 employees
Short description
Empiric AI builds bespoke AI infrastructure — sovereign, institutional, enterprise, and industrial — for governments, financial institutions, global brands, and physical-world operators, delivering through direct, quote-based engagements.
Ownership category
akta.pro rank

Empiric, Inc. industry classification

Industry
Product category
AI Infrastructure Services
NAICS
Computer Systems Design Services (541512), Computer Systems Design and Related Services (5415)
SIC
Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
akta.pro primary industry
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
akta.pro secondary industries
Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

  • AI infrastructure services
  • Decision intelligence systems
  • Enterprise AI consulting
  • Sovereign AI platforms
  • Industrial AI solutions

Where Empiric, Inc. is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices3 records

Markets served

Empiric, Inc. business model

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

Revenue model

  1. Enterprise AI Infrastructure Services: Custom AI infrastructure engagements for sovereign, institutional, enterprise, and industrial clients. Engagements begin with strategic assessment, proceed through delivery and integration, and include operational support post-launch. Revenue derived from professional services and managed services associated with building and operating custom AI systems. Engagements are governed by separate written agreements.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Empiric, Inc. product offering

Product offering

Core offering

Empiric builds AI as durable, inheritable infrastructure for sovereign governments, banks and family offices, global brands, and industrial operators, delivering bespoke mandates that integrate data, workflow logic, governance, evaluation harnesses, and operational layers. Engagements run through three phases — Strategy, Delivery, and Operations — and are organized around four practice areas: Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI. Systems are deployed on client infrastructure (on-premise, private cloud, or hybrid) with client-controlled keys and configurable data residency across EU, US, UK, GCC, and APAC jurisdictions.

Product overview

Empiric AI operates as a single unified AI services company organized around four practice areas: Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI. Rather than a productized platform, Empiric delivers bespoke AI mandates tailored to each client's specific requirements. The company's engagement approach follows three phases—Strategy, Delivery, and Operations—where engineers who shaped the strategy also build the system. Each practice area targets a distinct market segment: governments and ministries (Sovereign AI), banks and family offices (Institutional AI), global brands (Enterprise AI), and infrastructure/logistics operators (Industrial AI). Client work includes national sustainability tracking platforms, AI investment committee members, financial modeling engines for market entry, and global supply chain visibility platforms.

Differentiator

Problem solved

Functional benefit

Products and services

  • Sovereign AI Bespoke AI infrastructure mandate for governments, ministries, and state-owned enterprises, designed around national platforms for tracking and verifying state-funded initiatives. Engagements are delivered on the client's terms — on-premise, private cloud, or hybrid — with data residency managed to national jurisdictions and built against SOC 2, ISO 27001, HIPAA, and GDPR frameworks.
  • Institutional AI Bespoke AI infrastructure mandate for banks, family offices, and regulated capital institutions, built so that every decision is defensible and every model is audit-ready. Engagements include AI investment committee members and continuous risk-review systems across large motion counts, with full reasoning shown for every recommendation.
  • Enterprise AI Bespoke AI infrastructure mandate for global brands, maisons, and marques operating at scale where the brand is the primary asset. Engagements centre on financial modeling engines, supply/distribution/demand modeling, and brand-asset optimization for new-market entry and other defensible strategic decisions.
  • Industrial AI Bespoke AI infrastructure mandate for infrastructure, energy, logistics, and grid operators requiring AI built for the physical world and engineered for scale. Engagements deliver end-to-end supply chain visibility platforms, real-time disruption monitoring across multiple categories, and downstream impact modeling to protect customer commitments.

Quantifiable outcome

  • US$12.4bn under decision-intelligence systems
  • +7 more outcomes

Companies that use Empiric, Inc.

Customer profile

Named customers12 records

Segments4 records

Ideal customer profiles4 records

Empiric, Inc. technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature4 records

Empiric, Inc. partnerships and signals

Strategic signal

Scale indicators5 records

Recent moves5 records

Expansion highlights4 records

Empiric, Inc. competitors and assessment

Company assessment

Direct peers

  • C3.ai: Enterprise AI platform and applications company delivering bespoke AI systems to large enterprises and government agencies; comparable in custom-model-deployment orientation and target buyer (Fortune 500 / public sector), though more productized than Empiric's services model.
  • Scale AI: Provides AI infrastructure, evaluation, and deployment services to enterprises, governments, and frontier-model builders; comparable in custom AI system delivery to sophisticated institutional buyers, though Scale leans more toward data/evaluation than governance-and-audit positioning.
  • H2O.ai: Enterprise AI platform with strong regulated-industry (banking, insurance, healthcare) footprint and open-source model deployment options; comparable in serving audit-sensitive buyers and offering on-premise deployment models.
  • Palantir Technologies: Builds data and AI infrastructure (Foundry, Gotham) for governments, financial institutions, and large enterprises with an emphasis on auditability, deployment on client infrastructure, and regulated-industry use cases — the closest functional analogue to Empiric's sovereign and institutional AI practices.
  • DataRobot: Enterprise AI/ML platform with deep deployment and lifecycle management capabilities for regulated industries; comparable in serving institutions that need auditable, governed AI deployments across their data estate.

Broad incumbents

  • BCG Gamma: BCG's data science and AI consulting practice serving large enterprises globally; comparable in high-touch custom AI delivery to strategic buyers, with a similar investment-committee / decision-support narrative.
  • IBM watsonx: IBM's enterprise AI platform and consulting arm targeting regulated industries (banking, government, healthcare) with strong governance and audit positioning; competes for the same institutional AI budgets via a broader product-plus-services offering.
  • Accenture: Global professional services firm with a large dedicated AI practice (Accenture AI, including acquisitions like Mudano) serving exactly the same Fortune 500 / regulated-buyer segment as Empiric; competes on global delivery scale rather than architectural differentiation.
  • QuantumBlack (McKinsey): McKinsey's AI and analytics arm, delivering custom decision-intelligence and AI infrastructure to C-suite buyers in financial services, luxury, and industrials — overlaps Empiric's enterprise-AI practice area at the strategy-to-delivery interface.

Emerging players

  • Faculty AI: UK-based applied AI services firm building decision-support and forecasting systems for regulated enterprises and government; closely comparable in custom-AI-for-institutions positioning and 'AI as decision infrastructure' narrative, though smaller and Europe-focused.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Empiric, Inc. social profiles

Digital presence

Empiric, Inc. compliance and trust

Trust signal

Compliance4 records

Empiric, Inc. financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Empiric, Inc. leadership team

Management profile

Number of profiles

Profiles4 records

Empiric, Inc. funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

Empiric, Inc. 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 Empiric, Inc.

What does Empiric, Inc. do?

Empiric builds AI as durable, inheritable infrastructure for sovereign governments, banks and family offices, global brands, and industrial operators, delivering bespoke mandates that integrate data, workflow logic, governance, evaluation harnesses, and operational layers. Engagements run through three phases — Strategy, Delivery, and Operations — and are organized around four practice areas: Sovereign AI, Institutional AI, Enterprise AI, and Industrial AI. Systems are deployed on client infrastructure (on-premise, private cloud, or hybrid) with client-controlled keys and configurable data residency across EU, US, UK, GCC, and APAC jurisdictions.

Is Empiric, Inc. a public or private company?

Empiric, Inc. is a private company. It is classified as unknown and is currently operating.

When was Empiric, Inc. founded?

Empiric, Inc. was founded in 2020. It employs 1 to 10 people.

Where is Empiric, Inc. based?

Empiric, Inc. is headquartered in San Francisco, United States, in the North America region.

How does Empiric, Inc. make money?

One revenue line is on record: enterprise AI Infrastructure Services.

Who are Empiric, Inc.'s main competitors?

Direct peers on record are C3.ai, Scale AI, H2O.ai, Palantir Technologies and DataRobot. Broad incumbents are BCG Gamma, IBM watsonx, Accenture and QuantumBlack (McKinsey). Faculty AI is listed as an emerging player.

Does Empiric, Inc. have an API?

No public API is recorded for Empiric, Inc..

What industry is Empiric, Inc. in?

Empiric, Inc.'s product category is AI Infrastructure Services. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAE, Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies). Its NAICS code is 541512 and its SIC code is 7373.

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