What Vectice does

Vectice is a Regulatory MLOps platform that auto-captures AI/ML assets — datasets, code, notebooks, models, and runs — and auto-generates documentation continuously across the model lifecycle, from business requirements through production deployment. The platform is built around an integrated suite of modules: the core Vectice Platform (asset capture and documentation generation), Model Dependency Map/AI Catalog (continuous lineage and dependency visualization), Documentation Copilot (LLM-powered first-draft generation of Model Development Documents and Model Validation Documents), Flex Connector (integrations with 15+ ML frameworks, MLOps platforms, data platforms, and notebooks plus optional private LLM deployment), Project Governance (structured regulatory workflows aligned to SR 11-7, SS1/23, E-23, and the EU AI Act), and Enterprise Ready (SOC 2 Type II, scalable to thousands of users and millions of assets). Architecture is platform-agnostic and API-first, designed to plug into existing Python, R, Jupyter, SageMaker, Databricks, Snowflake, and CI/CD environments with one line of code rather than displace the customer's toolchain.

The company sells on an enterprise SaaS subscription basis (seat-based or enterprise licensing) with a 15-day free trial funneling into enterprise sales-assisted conversion, targeting Fortune 2000 buyers in financial services — including model developers, validation/Model Risk Management teams, governance teams, and IT and security functions — with a stated secondary wedge into manufacturing. Co-founders Cyril Brignone (CEO), Gregory Haardt (CTO), and Christian Kaas (President of Financial Services) lead the company, supported by a CFO and functional heads in engineering, growth, and quality. Vectice is venture-backed with $15.6 million in disclosed funding (a $3M seed in June 2020 and a $12.6M Series A in January 2022) from Sorenson Ventures, Crosslink Capital, Spider Capital, Global Founders Capital, and Silicon Valley Bank, and operates from San Francisco with a European R&D office in Paris.

Distribution relies on direct enterprise field sales to CDOs, Heads of Data Science, and MRM leadership, supplemented by a co-sell motion through ServiceNow's Integrated Risk Management (IRM) platform following a 2024 integration. Marketing emphasizes regulatory thought leadership via NIST AISIC membership, OECD.AI partnership, the NIST AI Verify working group, and consecutive RegTech100 listings (2025 and 2026), targeting financial institutions subject to overlapping US, UK, Canadian, and EU model risk and AI governance frameworks.

Name

Vectice

Legal name

Vectice Inc.

Website

https://vectice.com

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

11–50 employees

Short description

Vectice is a Regulatory MLOps platform that auto-captures AI/ML assets and continuously generates Model Development and Validation documentation for enterprise data science, model risk, and governance teams, with a primary focus on financial services banks subject to SR 11-7, SS1/23, and E-23.

Ownership category

akta.pro rank

Product category

Regulatory MLOps / AI Governance Software

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Experiment Tracking, Metadata & Model Registry (HDAAABAC)

akta.pro secondary industries

Model Risk Management (MRM) & Validation (FSAFAOAI), MLOps/LLMOps & Model Lifecycle Management Services (BPAEAHAH), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)

Keywords

• AI model documentation
• Regulatory MLOps platform
• Model risk management
• AI governance software
• ML lineage tracking

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription: Enterprise SaaS subscription model with 15-day free trial. Targets enterprise buyers (Fortune 2000, financial institutions) with platform-agnostic AI assets management and documentation software. Revenue derived from seat-based or enterprise licensing subscriptions.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels5 records

Core offering

Vectice provides a Regulatory MLOps platform that automatically captures AI/ML assets (datasets, code, notebooks, models, runs) throughout the model lifecycle and continuously auto-generates development and validation documentation. The platform integrates with existing data science tooling (Python, R, Jupyter, SageMaker, Databricks, Snowflake) via one line of code to produce audit-ready Model Development Documents (MDDs) and Model Validation Documents (MVDs) compliant with SR 11-7, SS1/23, E-23, and the EU AI Act. It serves data science, model validation, and Model Risk Management (MRM) teams primarily in financial services and banking.

Product overview

Vectice is a unified Regulatory MLOps platform designed as a single integrated system consisting of several modules: the core Vectice Platform (which auto-captures AI/ML assets and generates documentation throughout the model lifecycle), the Model Dependency Map/AI Catalog (for lineage tracking), the Documentation Copilot (AI-powered documentation drafting), the Flex Connector (for ecosystem integrations), Project Governance (structured governance workflows), and Enterprise Ready (security and scalability). Solutions are also packaged by team persona — Financial Services Teams (Model Developers, Validation & MRM) and Enterprise Teams (Data Science, Governance, IT & Security) — targeting specific industry and role-based use cases in banking, financial services, and manufacturing.

Differentiator

Problem solved

Functional benefit

Products and services

• Vectice Platform A regulatory MLOps platform that automatically captures AI/ML model assets (datasets, code, notebooks, models, runs) throughout the model lifecycle and auto-generates documentation from business requirements to production deployment. Serves as a system of record for model governance, audit trails, and cross-functional collaboration. Targeted at enterprise data science, validation, and MRM teams.
• Vectice for Financial Services Teams Tailored solution for model developers, model validation teams, and Model Risk Management (MRM) teams in financial institutions. Includes customizable Model Development Document (MDD) templates based on SS1/23, SR 11-7, and the EU AI Act, automated model documentation, and tools for reproducing and reviewing documented results.
• Vectice for Enterprise Teams Solutions package for data science teams, governance teams, and IT & security teams in non-financial enterprises, enabling AI/ML model documentation, governance integration into CI/CD pipelines, compliance enforcement without disrupting workflows, and scalable governance practices.
• Vectice Integration with ServiceNow IRM

Quantifiable outcome

• Slash documentation creation time by 90%
• +3 more outcomes

Named customers1 record

Segments6 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability3 records

Feature5 records

Partnerships

Three partnerships are on record, tiered core and minor.

• ServiceNowcoreTechnology or Integration · 19 September 2025Vectice integrated its AI model documentation and governance automation into ServiceNow's Integrated Risk Management (IRM) platform for financial institutions. The integration enables automatic generation of audit-ready model documentation, policy reviews, and lineage tracking directly within ServiceNow workflows, addressing tightening supervisory expectations from Canada's E-23 guideline and UK's SS1/23.
• Capgemini Applied Innovation ExchangeminorImplementation/ SI/ Consulting PartnerPartnered for 'Future of AI Workflows' certification event where data scientists and ML engineers from 19 companies got certified in AI workflows. Capgemini provided venue and innovation ecosystem support.
• Data Science Process AllianceminorStrategic or Co-development PartnerPartner for Vectice Certification program, providing expertise on agile data science workflows. Jeffrey Saltz contributed expertise on data science process methodology.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Broad incumbents

• Databricks: Databricks is a leading data and AI platform with Unity Catalog and MLflow providing native model registry, lineage, and governance. Vectice explicitly integrates with Databricks as a neutral metadata overlay; Databricks represents the largest platform risk of native governance absorption.
• DataRobot: DataRobot is an enterprise AI platform offering model development, deployment, monitoring, and increasingly governance features. Vectice lists DataRobot among its supported integrations, reflecting overlap with Vectice's customer base in regulated industries.
• Dataiku: Dataiku is an enterprise AI/ML platform with governance, MLOps, and collaboration features, widely deployed in banking and financial services. Vectice lists Dataiku among its native integrations, indicating overlapping enterprise buyer personas and MRM-related use cases.
• AWS SageMaker: AWS SageMaker provides model registry, lineage, and governance as part of its broader cloud ML stack. As a hyperscale incumbent with massive distribution in regulated financial services, SageMaker represents both a primary integration partner for Vectice and a major platform bundling threat.
• Google Vertex AI: Vertex AI is Google's enterprise AI platform with native model registry, feature store, and governance capabilities. Like SageMaker, it is both a Vectice integration partner and a competing platform with capacity to absorb governance functionality into its stack.

Direct peers

• Weights & Biases: Weights & Biases is an MLOps platform providing experiment tracking, model registry, and artifact management across the model lifecycle. It overlaps with Vectice's Model Dependency Map and metadata capture, with increasing focus on governance and lineage for regulated ML use cases.
• Domino Data Lab: Domino Data Lab provides an enterprise MLOps platform with model governance, reproducibility, and audit features targeted at regulated industries including financial services. It competes head-on with Vectice for bank and insurance model documentation and validation workflows.
• ValidMind: ValidMind is a RegTech-focused platform that automates model risk management documentation for banks, directly addressing SR 11-7, SS1/23, and similar frameworks. It is the closest direct competitor to Vectice's documentation and validation automation offering for financial institutions.

Emerging players

• H2O.ai: H2O.ai provides an enterprise AI platform with model governance and documentation features used in regulated industries. Vectice lists H2O.ai as a supported integration, reflecting partial overlap with Vectice's documentation and MRM focus.
• Modulos: Modulos provides an AI governance platform focused on regulatory compliance, risk management, and documentation for enterprise ML models. It overlaps with Vectice's governance and EU AI Act positioning for European regulated customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks1 record

Key highlights7 records

Customer concentration

• Xx.com/VecticeAI
• YouTubeyoutube.com/@vectice3988
• LinkedInlinkedin.com/company/vectice

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds2 records

Investors5 records

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

M&A

Investments

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

Frequently asked questions about Vectice