← Sovereign Stack/Pillar P4Weeks 1–10 · first governed agent live by week 4ex · Data, Automation & AI

Atlas Intelligence Plane — Lakehouse · Vector + RAG · Agent Runtime · Model Gateway

Most enterprises have data, models and agents — but in three different stacks with three different governance stories. Atlas is one plane: lakehouse, vector store, feature ops, model gateway and agent runtime, all governed end-to-end with the same identity and policy fabric.

Model time-to-value

4×

Token spend per task

− 58%

Eval pass rate

> 94%

Commission this pillar →See deliverables

Flagship pods

The squads we drop in

Lakehouse Foundations Pod

RAG + Vector Pod

Model Gateway Pod

Multi-Agent Orchestration Pod

Deliverables

Everything that ships

Governed lakehouse
Iceberg / Delta with row-level security, lineage, contracts, freshness SLOs.
Vector + hybrid retrieval
Per-tenant indexes, freshness gates, citation enforcement, eval harness.
Feature & eval ops
Online/offline parity, drift detection, golden sets, regression suites.
Model gateway
Multi-model routing (OpenAI / Anthropic / Gemini / Mistral / OSS) with cost + policy controls.
Agent runtime
Planner/worker/critic loops, tool registry, deterministic fallbacks, tracing.

Pod composition

Data Principal
ML Platform Engineer
Agent / RAG Engineer
Governance + Lineage Lead

Partners we orchestrate

DatabricksSnowflakeMicrosoft FabricOpenAIAnthropicGoogle VertexMistralQdrantPinecone

Example output · Plan · /v1/agents/runjson

POST /v1/agents/run
{
  "agent": "renewals.copilot",
  "tenant": "acme-emea",
  "task": "Draft Q3 renewal for ACC-1187",
  "policy": { "region": "eu-west", "max_cost_usd": 0.40 }
}
→ 200 {
  "run_id": "r_8821",
  "model_route": ["gpt-5", "fallback:gemini-2.5-pro"],
  "tools_called": ["crm.read", "contracts.draft"],
  "tokens": 18420,
  "cost_usd": 0.31,
  "eval_score": 0.96,
  "lat_ms": 2410
}

Timeline

Weeks 1–10 · first governed agent live by week 4

1
Weeks 1–3
Plane foundations
Lakehouse, identity, lineage, contracts, model gateway, observability.
2
Weeks 3–6
First governed agent
RAG + tools + evals + tracing live for one P&L line; shadow mode then live.
3
Weeks 6–10
Multi-agent + cost optimisation
Planner/worker/critic, model routing, cost-per-task scorecard.

FAQs

What buyers actually ask

Do you replace Databricks / Snowflake / Fabric?

No — we sit on top, orchestrating governance, vector and agent runtime across whichever lakehouse you've chosen.

Can we bring our own models?

Yes. The model gateway is multi-vendor and supports OSS (Llama, Mistral, Qwen) on your private GPUs alongside hosted APIs.

How is this different from a chatbot rollout?

Every agent is contracted to a P&L line, has an eval harness, a cost ceiling, an escalation path, and a regulator dossier.

Sovereign deployment?

Yes — EU, UK, US, GCC and on-prem GPU deployments are first-class. Region pinning is a policy, not a project.

Commission · P4 Atlas Intelligence Plane

Stand up Atlas Intelligence Plane in Weeks 1–10.

We'll respond within one business day with a scoping note, a fixed-price outcome contract, and a named principal cleared for your domain. Your details sync straight into our concierge queue.

• Outcome-priced — no T&M.
• Sovereign by default — your data, your region, your keys.
• Refund-backed if the contracted KPI isn't hit.