Omnea

Overview: AI-native procurement intake, orchestration, and supplier relationship management (SRM) platform, now positioned as an “Agentic Operating System (aOS) for procurement.” Founded in 2022 in London (some databases list 2021), with a growing New York presence. Raised a $50M Series B in September 2025 led by Insight Partners and Khosla Ventures (with Accel, Point Nine, First Round, and Prosus), bringing total funding to $75M+. Reported 5x revenue growth in the year to Series B and 3x in the twelve months to June 2026. Customers include Spotify, Albertsons, Adecco, Wise, MongoDB, Monzo, PayPal, Just Eat, Riot Games, T. Rowe Price, and Unity. Named a Leader in Procurement Orchestration in G2 Spring 2026 reports.

Core Platform & Architecture

1. Deployment models Cloud-only SaaS. No on-premise or hybrid options. Positioned as an orchestration layer that sits on top of existing ERP, CLM, and GRC systems rather than replacing them.

2. Data model — unified or modular/siloed Unified orchestration layer with a composable module structure (intake, sourcing, supplier CLM, guided buying, TPRM, PO automation). The core data model centers on requests, suppliers, approvals, and renewals. Transactional records (POs, vendor master) are written to the customer’s ERP via two-way integration rather than held natively as the system of record.

3. Technology stack Cloud-native SaaS with an AI agent layer across modules. Conversational intake via Slack, Microsoft Teams, and email. MCP Server (launched March 2026) exposes procurement data to Claude, ChatGPT, Microsoft Copilot, Cohere North, and Cursor. Underlying LLM providers are not publicly disclosed; Omnea states it has zero data retention agreements with model providers.

4. Uptime/SLA guarantees Not publicly disclosed. SOC 2 Type II certified and GDPR compliant. SLA terms are contract-defined.

AI & Innovation

5. AI/ML capabilities — native vs bolted on Natively AI-first. The platform was built around AI-driven intake and triage, and has since been rebranded around agents operating across all modules with configurable human oversight.

6. Generative AI support Yes:

Conversational intake that turns free-text requests (Slack/Teams/form/upload/URL) into structured requests.
AI generation of RFI/RFP/RFQ questionnaires by category, plus a Question Review Agent that flags gaps and leading questions.
Natural-language querying of supplier, PO, and spend data via MCP from third-party AI assistants.

7. Agentic/autonomous workflow layer Yes — core positioning. Agents handle triage, routing, risk review, and data handoffs, and “autonomous sourcing” can trigger competitive events automatically when spend, category, or risk thresholds are crossed. Write-back actions through MCP (updating supplier records, managing requests) are described as in development.

8. AI in supplier/vendor evaluation and scoring AI-assisted supplier suggestions (existing approved suppliers and new alternatives), AI-assisted security/risk questionnaire review within TPRM, and continuous risk monitoring via a Dow Jones partnership. Price Intelligence (with Tropic, June 2026) benchmarks SaaS quotes against market prices.

9. Predictive analytics Limited public detail. Renewal tracking and price benchmarking are available; predictive spend forecasting or disruption modeling is not a stated capability.

10. AI feature update frequency and public roadmap Rapid release cadence — 50+ releases shipped in H1 2026 (MCP Server, Price Intelligence, Continuous Monitoring, Guided Buying). No formal public roadmap is published.

Integrations & Interoperability

11. ERP and financial system integrations 200+ integrations across ERPs, CLMs, and GRCs, with third-party sources citing SAP, Oracle, and NetSuite. Vendors and POs are created directly in the ERP through two-way sync.

12. Open API API and MCP Server available. Public developer documentation depth is not widely disclosed.

13. SSO and identity/auth standards SSO and role-based access supported. Specific protocols (SAML/OIDC, SCIM) are not detailed publicly.

14. Pre-built connectors to supplier networks or third-party data providers Dow Jones (risk screening), Tropic (SaaS price benchmarks), plus Slack, Teams, and AI-assistant connectors. No proprietary supplier network.

Tender & Procurement-Specific Functionality

15. RFx types supported RFI, RFP, RFQ via the Sourcing module, with AI-generated questionnaires and supplier suggestions. eAuctions, reverse auctions, and advanced sourcing optimization are not publicly listed.

16. Compliance and audit trail Full audit trail of requests, approvals, and agent actions. Policy-aware approvals based on monetary and risk thresholds. SOC 2 Type II and GDPR. Public-sector tendering compliance is not a stated focus.

17. Configurability — custom workflows, scoring criteria, approval hierarchies High — no-code workflow builder for intake paths, approval chains, and risk/security reviews. Reviewers consistently cite customizable workflows and ease of use as strengths.

Product Maturity & Roadmap

18. Known gaps and limitations

Not a system of record for P2P — POs and vendor records are pushed into the ERP; native invoice matching, AP, and payments depth is unproven (P2P/AP/e-invoicing appear on the site but with limited public detail).
Young company with a relatively new product; reviewers cite product maturity as a concern.
G2 reviewers note integration gaps with some systems (e.g. deeper Xero and trust-centre integrations requested).
Reviewers ask for more proactive visibility into upcoming releases; no public roadmap.
Sourcing is focused on indirect/SaaS spend — no eAuctions or complex direct-materials sourcing.
Pricing is not published (demo required); no free trial.
Many AI capabilities (autonomous sourcing, MCP write actions, Price Intelligence) are 2026 launches with limited track record.
Less suited to public-sector tendering and regulated tender compliance.