Foundation Models
Frontier and open-weight models behind one API contract.
Platform
The Enterprise Intelligence Platform
One control plane across models, agents, knowledge, data and compute — so the sixth use case lands where the first one did, with the same audit trail behind it.
What is in it
Everything an AI estate needs, in one operating environment
Instead of assembling model vendors, GPU providers, a vector store, an evaluation harness and a governance story, you operate one environment — and keep it.
GPU Cloud
H100, H200 and B200 capacity with multi-node interconnect.
Agent Platform
Autonomous agents with memory, planning and tool calling.
Enterprise Search
Semantic retrieval across every system your business runs on.
Knowledge Hub
Governed, versioned corpora with lineage back to the source.
Security
Private networking, encryption in transit and at rest, BYOK.
Governance
Policy, audit trails and evaluation gates before promotion.
Fine-Tuning
LoRA and full-parameter tuning on your own data, in your tenancy.
Model Marketplace
Models, agents and extensions with commercial terms attached.
Deployment
Serverless, dedicated, on-premises or fully air-gapped.
Models
Deterministic and generative, deliberately both
A lot of vendors have quietly reduced every problem to a prompt. That is the wrong tool for most enterprise decisions, and it is why so many pilots die in risk review. Route by cost, latency, residency or capability without rewriting application code.
model
Deterministic ML
Scorecards, anomaly detectors, survival and time-series models — reproducible and defensible.
model
Large Language Models
Reasoning, drafting and synthesis, self-hosted and fine-tuned on your corpus.
model
Vision Models
Detection, inspection and document understanding.
model
Speech Models
Transcription, diarisation and real-time voice.
model
Embedding Models
Dense and sparse retrieval tuned for your corpus.
model
Multimodal Models
Text, image, audio and video in a single context.
model
Code Models
Generation, migration and review across your stack.
model
Domain Specific Models
Clinical, legal, financial and industrial specialists.
Supported providers
OpenAIAnthropicMetaMistralGoogleDeepSeekQwenMicrosoftCohereOpen Source
Agents
A digital workforce that knows how your business runs
Agents ship with memory, planning, reasoning, tool calling, workflow automation, human approval and knowledge retrieval — and escalate when policy requires it rather than improvising.
Procurement Agent
Screens suppliers, drafts RFPs and flags contract drift.
Finance Agent
Reconciles ledgers, explains variance and drafts board packs.
HR Agent
Answers policy questions and shepherds onboarding end to end.
Customer Service Agent
Resolves tier-one volume with full case history in context.
Legal Agent
Reviews clauses against playbooks and surfaces obligations.
Supply Chain Agent
Watches signals upstream and re-plans around disruption.
Sales Agent
Researches accounts, drafts outreach and keeps CRM honest.
Engineering Agent
Triages incidents, proposes fixes and writes the postmortem.
For engineers
Driven by API, not just by console
A public REST API across the full platform surface, SDKs for Python and TypeScript, an OpenAI-compatible inference gateway that authenticates and meters every call, and MCP support so your models and data are reachable as tools by agentic clients.
Anything you can click, you can automate. Projects, registry entries, deployments, guardrails and evaluators are all addressable, which is what makes the platform survivable in an organisation that manages infrastructure as code rather than through a browser.
Every call routes through the gateway, so usage, cost and behaviour are visible per project, per model and per team — the same telemetry that makes drift monitoring possible in the first place.
Modules
What you operate day to day
Projects
Isolated workspaces with their own data, credentials, compute and members — the unit of separation between teams, environments and business lines.
Data Hub & Integrations
Register, browse, preview and query the stores your models read from. Credentials sealed and masked at rest.
Models & Registry
Catalogue, version, configure and promote models through their lifecycle, with evaluation gates before promotion.
Deployments
Live endpoints with health, logs, events and rollback per deployment.
Guardrails & Evaluators
Safety screening on inputs and outputs, plus rubric-based quality scoring run continuously rather than once at UAT.
Access Control
Role-based and attribute-based permissions with deny-overrides, down to the individual resource.
Talk to us
See it against your own estate
The useful version of a platform demo is one pointed at your systems and your constraints. Tell us what those are and we will run it that way.