Seven platforms.
One team. One spine.
Two platforms run the business. Three govern how you adopt AI — govern, build, verify. Two are built for a specific industry. Every one is working software, built in-house, deployed inside your environment, with a pilot available today.
Run the business
The two flagship platforms — one for the contracts your business signs, one for the operations it runs every day.
Contract Intelligence
Your contracts, read. Your vendor relationships, governed.
AI-native contract lifecycle management that goes beyond the repository. Nine specialised agents extract terms, score risk and track obligations, renewals and SLAs — and a relationship-governance layer scores every vendor relationship against the KPIs you agree.
- ▸ Nine specialised agents for extraction, risk and obligations
- ▸ Vendor KPI scoring beyond the contract text
- ▸ Multi-tenant, semantic search, every agent run audit-traced
Business Operations
One platform for how a business actually runs.
Sales, Marketing, HR, Finance, Projects, Recruitment and ITSM — seven modules in one multi-tenant SaaS. The built-in assistant carries 160 AI actions across four graduated autonomy levels, from suggest-only to fully autonomous, so AI takes on exactly as much as you allow.
- ▸ Seven business modules, one data model
- ▸ 160 AI actions across four autonomy levels
- ▸ Autonomous sales agent under your policy, MCP server built in
Adopt AI safely
The AI spine. How you govern AI, how you build with it, and how you verify what you ship — the same three layers every platform we make runs on.
AI Governance
Govern every AI call your enterprise makes.
A forward proxy that intercepts and governs all LLM traffic. Policy enforcement per team and per model, local ML-based DLP that catches PII before it leaves your network, and a complete audit log of every AI interaction.
- ▸ Local ML DLP — no data leaves your network
- ▸ Policy enforcement per team and per model
- ▸ Full audit log, time-series analytics, live dashboard
AI-Assisted SDLC
Build software with AI and keep the audit trail.
Structured AI workflows for the entire SDLC. Five roles, one thread of context, and a full compliance audit trail for every AI-generated artifact. Exports to nine AI coding tools.
- ▸ Five role-based phases with context threading
- ▸ VS Code, Desktop, CLI and MCP server
- ▸ Audit trail from code to prompt to requirement
AI Testing Suite
Author in English. Run against reality. Verify the data.
AI-native end-to-end test automation. Tests are authored in plain English, calibrated against the live site and self-heal at run time — and a data validation agent reconciles what the screen shows with the row in the database.
- ▸ Plain-English authoring and live-app discovery
- ▸ Self-healing selectors, deterministic LLM-free runtime
- ▸ Database and API validation behind every screen
Built for your industry
Two platforms that solve one hard, specific problem for one kind of buyer — on the same spine as everything above.
Regulatory Reporting
For US P&C insurance carriers.
Regulation PDFs become a knowledge graph, and the knowledge graph becomes executable filing schemas — with carrier data validation and compliance sign-off. Texas and Florida statistical filings already built, running on Snowflake, DuckDB or Databricks.
- ▸ Regulation to knowledge graph to executable schema
- ▸ Texas and Florida filings built today
- ▸ Runs on Snowflake, DuckDB or Databricks
Datacenter Solutions
For data center operators.
AI thermal management built on real exascale supercomputer operational data. An ensemble of five forecasting models predicts temperature 30-60 minutes ahead at 95% accuracy — with a thermal digital twin, waste-heat recovery and carbon reporting built in.
- ▸ 95% forecast accuracy, 30-60 minute horizon
- ▸ 15% cooling cut, $2-5M saved per facility per year
- ▸ Digital twin, heat recovery and ESG reporting
Every platform here has a pilot.
Pick the one closest to your problem. We scope the pilot to your systems, run it inside your environment, and you judge it on your own data.