Ferris
- Company typePrivate
- Founded2014
- HeadquartersCham, Zug, Switzerland
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Ferris firmographics
Firmographics- Name
- Ferris
- Legal name
- Ferris Labs AG
- Website
- https://ferris.ai
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Ferris industry classification
Industry- Product category
- Enterprise Data & AI Platform Software
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- 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 industry
- Real-Time / Streaming Data Warehousing (HDAEABAF)
Keywords
Where Ferris is headquartered
LocationHeadquarters
- HQ city
- Cham, Zug
- HQ country
- Switzerland
- HQ region
- Europe
Offices1 record
Markets served
Ferris business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Platform/Software Licensing: The Ferris Unified Real-Time Platform is offered as a product, with the platform enabling 3-5x faster custom-built development of data and AI use cases. The company also offers pre-built data and AI use cases and templates.
- Professional Services: Ferris Solutions AG provides data and AI-driven digital solution delivery through a Crawl-Walk-Run methodology. Services include implementation, consulting, and solution delivery across client experience, operational excellence, regulatory and compliance, and data management and governance.
- Regulatory as a Service (BPO): Regulatory reporting services offered as business process outsourcing for financial institutions, ensuring timely compliance implementation and cost savings.
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Ferris product offering
Product offeringCore offering
Ferris sells the Ferris Unified Real-Time Platform, a data and AI-driven software platform that lets enterprises develop, deploy, and operate automated data and AI-driven solutions. The platform is built on microservices and event management, supports real-time processing, secure compliant genAI, data mesh, anything-as-code, and any-cloud connectivity, and is targeted at regulated industries. Around the platform, Ferris delivers implementation and consulting services, pre-built data and AI use case templates, and 'Regulatory as a Service' managed services to accelerate client outcomes in 9-12 weeks.
Product overview
Ferris offers the Ferris Unified Real-Time Platform as its core unified product for developing, deploying, and operating automated data and AI-driven solutions. The platform provides game-changing features including real-time processing, secure genAI, data mesh, multi-cloud support, anything-as-code, event streaming, open standards, and enterprise-ready capabilities. The solution portfolio encompasses four main areas: Data and AI-driven Business and Regulatory Solutions (including Client Experience, Operational Excellence, and Regulatory and Compliance use cases), Secure and Compliant genAI Solutions, Legacy Application Refactoring, and Data Platform and Governance Modernization. These are delivered alongside pre-built data and AI use cases, templates, and the Crawl-Walk-Run implementation methodology to accelerate delivery.
Differentiator
Problem solved
Functional benefit
Products and services
- Ferris Unified Real-Time Platform A unified real-time data and AI software platform that enables enterprises to develop, deploy, and operate automated data and AI-driven solutions across microservices, event management, and multi-cloud environments. Purpose-built for regulated industries with security-by-design and compliance-first paradigms.
- Data and AI-driven Business and Regulatory Solutions Automated front-to-back data and AI use cases spanning cloud and in-house systems to increase client experience, operational excellence, and regulatory compliance. Includes use cases such as client 360°, next-best opportunity/event-based sales, churn analysis, scalable advice, intraday liquidity management, and regulatory single source of truth.
- Secure and Compliant genAI Solutions Enterprise-compliant and secure generative AI solutions linking critical internal and external data and documents with private LLMs, RAG, knowledge graphs, and AI guardrails for regulated industries.
- Legacy Application Refactoring Service offering to rewrite and modernize legacy applications without losing data and IP, breaking up silos and reusing services supported by genAI co-pilots and LLM-assisted migration.
- Data Platform and Governance Modernization Creation and optimization of data lakehouses, data curation, data quality, and data/service mesh, with governance established across organizational silos.
- Crawl-Walk-Run Methodology A proven implementation methodology guiding clients from exploration (3 days-3 weeks) through strategic insights (3 weeks-3 months) to scaling (3-9 months) using agent and tool chains, designed to deliver ROI-relevant results within 9-12 weeks.
- Ferris Role-Skill Model Proprietary AI-based matching model for skill profiles, open positions, and AI-based career advisor functionality used in Ferris HR solutions for skill-based job roles, right-/out-placing intelligence, and employee skill inventory.
Quantifiable outcome
- 150M € net new assets in 3 months, 8% top line growth, 31 new wealth management clients
- +11 more outcomes
Companies that use Ferris
Customer profileNamed customers12 records
Segments5 records
Ideal customer profiles2 records
Ferris technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability14 records
Feature8 records
Ferris partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core and supporting.
- T SystemscoreSystem integrator partner providing implementation and consulting services for Ferris data and AI solutions deployment.
- NTT DatacoreTechnology and system integrator partner offering implementation services for Ferris solutions across enterprise客户.
- DXC TechnologycoreSystem integrator partner providing enterprise implementation and consulting services for Ferris platform deployments.
- AdnovumsupportingTechnology partner contributing to the Ferris business ecosystem for solution delivery.
- NXT DigitalsupportingDigital technology partner in the Ferris ecosystem for solution delivery.
- VirtuslabsupportingTechnology partner contributing to the Ferris business ecosystem.
- 4C GroupsupportingTechnology and integration partner in the Ferris partner ecosystem.
- Google CloudcoreCloud infrastructure partner enabling Ferris platform deployment and data/AI workloads on Google Cloud Platform.
- AWScoreCloud infrastructure partner enabling Ferris platform deployment and data/AI workloads on Amazon Web Services.
- AzurecoreCloud infrastructure partner enabling Ferris platform deployment and data/AI workloads on Microsoft Azure.
- StreamzerosupportingTechnology partner contributing to the Ferris data and AI solution ecosystem.
- NasdaqsupportingFinancial technology partner contributing to the Ferris ecosystem for capital markets and financial services solutions.
Scale indicators15 records
Recent moves4 records
Expansion highlights6 records
Ferris competitors and assessment
Company assessmentDirect peers
- Dataiku: Enterprise AI/ML platform with strong European financial-services penetration. Comparable to Ferris on collaborative data science, model lifecycle, and regulated-industry deployments.
- Databricks: Lakehouse data + AI platform serving regulated enterprises with ML/AI lifecycle tooling. Most directly comparable to Ferris on unified data/AI architecture, multi-cloud deployment and enterprise AI workload focus.
- Palantir Technologies: Enterprise data platforms (Foundry, AIP) purpose-built for regulated industries including banking, insurance and government. Closest comparable to Ferris on regulated-industry go-to-market and security-by-design positioning.
Broad incumbents
- Snowflake: Cloud data platform with broad enterprise footprint across financial services. Overlaps with Ferris on data warehouse/lakehouse, AI workloads and multi-cloud architecture, though Snowflake operates at vastly larger scale and serves many verticals.
- Thoughtworks: Global technology consultancy with strong data/AI and platform engineering practices serving financial services. Comparable to Ferris on the services-and-platform delivery model and Crawl-Walk-Run-style implementations.
- Informatica: Enterprise data integration, quality and governance platform with deep financial-services footprint. Comparable to Ferris on data mesh, governance modernization and regulatory SSoT use cases.
- HCLTech: Large IT services firm with significant financial-services and data engineering practices across Europe. Comparable to Ferris on the platform-enabled services delivery model targeting tier-1 European banks and insurers.
- Capgemini: Global SI with deep financial-services data and AI practices and a broad European enterprise client base. Comparable on enterprise transformation, data modernization and regulated-industry delivery.
Emerging players
- Confluent: Real-time event streaming platform (Kafka-based) used in regulated financial services for data pipelines. Partial overlap with Ferris's event-streaming, real-time data mesh capabilities.
- Collibra: Enterprise data catalog and governance platform used heavily by European banks. Adjacent comparator on the data governance and regulatory SSoT portion of Ferris's offering.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights6 records
Customer concentration
Ferris social profiles
Digital presenceFerris financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ferris leadership team
Management profileNumber of profiles
Profiles3 records
Ferris funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ferris M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Ferris
What does Ferris do?
Ferris sells the Ferris Unified Real-Time Platform, a data and AI-driven software platform that lets enterprises develop, deploy, and operate automated data and AI-driven solutions. The platform is built on microservices and event management, supports real-time processing, secure compliant genAI, data mesh, anything-as-code, and any-cloud connectivity, and is targeted at regulated industries. Around the platform, Ferris delivers implementation and consulting services, pre-built data and AI use case templates, and 'Regulatory as a Service' managed services to accelerate client outcomes in 9-12 weeks.
Is Ferris a public or private company?
Ferris is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Ferris founded?
Ferris was founded in 2014. It employs 11 to 50 people.
Where is Ferris based?
Ferris is headquartered in Cham, Zug, Switzerland, in the Europe region.
How does Ferris make money?
Three revenue lines are on record. Platform/Software Licensing is the primary driver. The others are professional Services and regulatory as a Service (BPO).
Who are Ferris's main competitors?
Direct peers on record are Dataiku, Databricks and Palantir Technologies. Broad incumbents are Snowflake, Thoughtworks, Informatica, HCLTech and Capgemini. Emerging players are Confluent and Collibra.
Does Ferris have an API?
No public API is recorded for Ferris.
What industry is Ferris in?
Ferris's product category is Enterprise Data & AI Platform Software. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEABAF, Real-Time / Streaming Data Warehousing. Its NAICS code is 54151 and its SIC code is 7373.