Northwind Financial
−42% spend
"We replaced six in-house AI gateways with one control plane. Token spend dropped 42% and we finally have a single audit trail the regulator will accept."
Priya Shah
CIO
// control_plane v4.0.2 · operational
The control plane for enterprise AI operations.
Govern, route, observe, and attribute every model call across OpenAI, Anthropic, Google, xAI, and your own stack — through one policy surface your security, finance, and platform teams already trust.
- SOC 2 Type II
- ISO 27001 ready
- EU AI Act aligned
- SaaS · VPC · self-host
// live console healthy
providers
openai412ms
anthropic388ms
google504ms
xai671ms
self-hosted122ms
p95 latency
1.9s
spend MTD
$12,402
policy events 24h
3,184
blocked
12
recent policy events
- 14:02PII redacted · claude-3-opus · ticket #4821
- 14:01routed gpt-5 → claude · cost rule
- 13:59blocked · prompt injection · grok-2
// built for regulated AI deployments12 model providers · 4 deployment modes · 3 cloud regions
Models governed
180+
Calls / day
42.8M
Policies enforced
12,408
Regions
US · EU · APAC
// architecture
One plane between your apps and every model.
Every prompt, every tool call, every dollar flows through a single policy and telemetry surface. No more shadow AI, no more per-team rebuilds of the same plumbing.
apps & agents
Internal appsCustomer productsAutonomous agentsRPA / batch jobs
control plane enforcing 12,408 policies
models & tools
OpenAIAnthropicGooglexAIMistralSelf-hostedMCP toolsVector DBs
// what this gives you
- One policy surface
- Apply RBAC, redaction, and approval rules once. Enforced inline on every model call.
- One cost ledger
- Token spend attributed to team, app, feature, and prompt — in real time.
- One trace timeline
- Every prompt, tool call, retry, and eval in a single replayable view.
- One catalog
- 4,200+ models, agents, and tools rated, ranked, and exposed through one router.
// control_plane_capabilities
Eight capabilities. One control plane.
Each capability is a first-class module — independently observable, independently governed, and exposed through the same policy and telemetry surface as the rest of the stack.
ENFORCING
Govern
Policy DSL · tamper-proof audit · RBAC across every model call.
Open module →
RUNNING
Orchestrate
Routing, chaining, triggers — production agent infra without YAML.
Open module →
OPERATIONAL
Agent infra
Agents, MCP servers, memory stores, and pipelines under one plane.
Open module →
AUDITED
Enterprise gov
RBAC, audit trails, SOC 2 / ISO / AI Act, signed deploys, approvals.
Open module →
ROUTING
Standardize
OpenAI · Anthropic · Google · xAI · self-hosted, behind one router.
Open module →
METERING
Attribute
Token + dollar attribution per team, app, feature, and prompt.
Open module →
TRACING
Observe
End-to-end traces, evals, drift, and SLOs for every model.
Open module →
INDEXED
Search
Permission-aware AI knowledge layer across every internal source.
Open module →
Govern
Every prompt under policy. Every call in the audit log.
Shadow AI is the new shadow IT. Boards want assurance that every model call is scoped, every dataset is protected, and every action is reviewable — without slowing down the teams shipping with AI.
- Policy DSL: redact PII, block prompt patterns, require human approval
- Tamper-evident audit log, exportable to your SIEM in real time
- RBAC and attribute-based access per model, dataset, and tool
- Evidence packs mapped to SOC 2, ISO 27001, and the EU AI Act
100%
calls logged
12k+
policies enforced
9d
SOC 2 evidence pack
- 01 · Author policy
- 02 · Enforce inline on every call
- 03 · Export audit + evidence
audit_log.livestreaming
| claude-3-opus | exported customer data | high |
| gpt-4o | ran finance.report | ok |
| gemini-2.5 | called crm.update | review |
| grok-2 | denied: PII redaction | blocked |
| llama-3.1 | summarized ticket #4821 | ok |
SOC 2
Type II
GDPR
Compliant
HIPAA
Ready
Orchestrate
Route work across models, agents, and tools — reliably.
Production AI is multi-step: classify, retrieve, call a tool, review, ship. Every team builds the same router, the same retry layer, the same human-in-the-loop. The control plane ships that infrastructure once.
- Cost- and quality-aware routing per request type
- Agent chains with retries, timeouts, branching, fan-out / fan-in
- Triggers from cron, webhooks, events, queues, or Slack
- Human-in-the-loop approval steps wired to the audit log
1.4s
avg run
99.7%
step success
50+
trigger sources
- 01 · Trigger fires
- 02 · Agents chain & branch
- 03 · Result shipped + traced
workflow.research_agent
triggers
cron · webhook · event
avg run
1.4s · 99.7%
Standardize
One router for OpenAI, Anthropic, Google, xAI, and self-hosted.
No single provider wins every task — and procurement, security review, and key rotation don't scale per-vendor. The control plane gives every team one interface, one credential surface, and one failover policy.
- Unified API across OpenAI, Anthropic, Google, xAI, Mistral, Ollama, vLLM
- Provider-agnostic prompts, tool schemas, and structured outputs
- Automatic failover and circuit breakers on provider degradation
- Bring-your-own keys, pooled credits, or per-team budgets
12+
providers
180+
models
<50ms
router overhead
- 01 · Classify request
- 02 · Pick optimal model
- 03 · Stream + failover
router.live
openai/gpt-572%
anthropic/claude-3-opus58%
google/gemini-2.5-pro41%
xai/grok-222%
local/llama-3.1-70b64%
→ failover: openai → claude → local · auto
Attribute
See exactly where every token — and every dollar — goes.
AI invoices arrive faster than anyone can explain them. Finance needs spend attributed to team, app, feature, and prompt — and platform teams need budgets and hard caps before the next surprise.
- Real-time token and dollar attribution per team, app, route, and prompt
- Budgets, alerts, and hard caps enforced before invoices land
- Caching, prompt compression, and cheaper-model suggestions
- Showback / chargeback exports for FinOps and unit-economics dashboards
−38%
avg spend
$48k
saved / quarter
1¢
per request
- 01 · Meter every call
- 02 · Attribute to owner
- 03 · Optimize + cap
spend_30d.usd↓ 38.4%
tokens/mo
12.4M
avg cost/req
$0.0021
saved
$48k
Observe
Traces, evals, drift, and SLOs for every model call.
When an agent breaks at 2am, on-call needs the prompt, the model version, the tool calls, the latency, and the eval score — in one timeline. Not three dashboards and a Slack thread.
- End-to-end traces across prompts, tool calls, retries, and approvals
- Automatic hallucination and drift detection with custom evals
- p50 / p95 / p99 latency per model, route, and customer segment
- Replay any failed run against a different model with one click
0.4%
hallucination
1.9s
p95 latency
99.95%
uptime
- 01 · Capture every trace
- 02 · Score with evals
- 03 · Alert + replay
traces.last_15m
rag.answer
842ms
agent.research
2140ms
summarize.doc
410ms
extract.invoice
1280ms
classify.intent
96ms
p95
1.9s
hallucination
0.4%
uptime
99.95
Search
A permission-aware AI knowledge layer across every source.
Knowledge lives in Notion, Slack, Drive, Linear, GitHub, the warehouse, and three abandoned wikis. The control plane indexes it, respects every permission, and answers with citations — never a black box.
- Unified index across SaaS, code, docs, and warehouse
- Permission-aware retrieval — users only ever see what they're allowed to
- Cited answers with source ranking and freshness signals
- Federated search SDK to embed in any internal app
20+
connectors
0.8s
median answer
94%
citation acc.
- 01 · Ask in plain language
- 02 · Search every source
- 03 · Cited, ranked answer
⌘what did we decide about EU billing last quarter?
notionQ3 product strategy→
slack@erin: shipping schedule update→
driveEU compliance memo.pdf→
githubPR #1284 — billing rewrite→
linearENG-882 latency regression→
answer · cited 7 sources · 0.8s
// catalog
The catalog inside your control plane.
4,200+ models, agents, and tools — rated, ranked, and exposed through one policy surface. Procurement, security, and platform teams work from the same source of truth.
Top of catalog · live
View all →| Model / Tool | Status | Score |
|---|---|---|
| ChatGPT OpenAI's flagship conversational AI assistant. | Available | 9.7 |
| ChatGPT OpenAI's flagship conversational AI assistant. | Available | 9.7 |
| Claude Anthropic's helpful, harmless AI assistant with massive context. | Available | 9.6 |
| Midjourney State-of-the-art image generation via Discord and web. | Available | 9.5 |
| Cursor The AI-first code editor. | Available | 9.6 |
| Google Gemini Google's multimodal AI across Search, Workspace, and more. | Available | 9.4 |
| GitHub Copilot AI pair programmer from GitHub and OpenAI. | Available | 9.3 |
Searching…
// taxonomy
Browse the catalog by domain.
Bot
Large Language Models (Chatbots & Assistants)
General-purpose LLM chatbots and AI assistants from frontier labs.
PenLine
AI Writing
AI-powered writing assistants, copywriters, and editors.
Image
AI Image Generators
Text-to-image and image-editing models.
Video
AI Video Tools
Generate, edit, and enhance video with AI.
Code2
AI Coding Assistants
IDE copilots, code review, and agentic developers.
Zap
AI Productivity
Meetings, notes, scheduling, focus, and personal automation.
TrendingUp
AI Marketing
SEO, ads, content, social, and growth.
Briefcase
AI for Business
Sales, ops, analytics, support, and enterprise AI.
// connects to the systems your AI already runs through
OpenAI
Anthropic
Google
xAI
Mistral
Ollama
Okta
Azure AD
Auth0
Datadog
Splunk
Snowflake
Slack
GitHub
LangChain
// enterprise_posture
The posture your board already expects.
security
Built for security teams.
- ·SSO (SAML, OIDC) + SCIM provisioning
- ·Tamper-evident audit log, exportable to your SIEM
- ·Customer-managed encryption keys (BYOK / HSM)
- ·Prompt-level PII redaction and DLP policy hooks
- ·IP allowlists, fine-grained service tokens
deployment
Runs where your data does.
- ·Multi-tenant SaaS in US, EU, and APAC regions
- ·Dedicated VPC deployment on AWS, GCP, Azure
- ·Self-hosted reference architecture (Kubernetes)
- ·Private-link connectivity to model providers
- ·Air-gapped option for regulated workloads
compliance
Mapped to the frameworks your auditors ask about.
- ·SOC 2 Type II — annual third-party attestation
- ·ISO 27001 / 27701 controls
- ·GDPR, CCPA, HIPAA-ready data handling
- ·EU AI Act risk classification & evidence pack
- ·NIST AI RMF + ISO 42001 control mapping
// customer_outcomes
What CIOs ship after consolidating on the control plane.
Helios Health
SOC 2 in 9d
"Every prompt is policy-checked and every model call is logged. Our SOC 2 evidence pack for AI workloads went from a six-week scramble to an export."
Daniel Okafor
Chief Information Security Officer
Forge Industrial
5 models · 1 router
"One control plane across OpenAI, Anthropic, and our self-hosted Llama fleet. Routing, failover, and cost attribution stopped being a per-team project."
Mia Tanaka
VP, Platform Engineering
// next_step
Take control of your AI stack.
Bring your CIO, CISO, and platform leads. We'll map your current AI footprint to the control plane in one working session — including policy mapping, cost attribution model, and a deployment plan for your cloud of choice.
// what's included
- →Policy & risk mapping workshop
- →Cost attribution model for your AI workloads
- →Reference architecture for your cloud
- →SOC 2 / ISO 27001 / EU AI Act evidence template