The governance layer for enterprise AI
One gateway to govern every AI request across every provider.
Sunesix is the multi-tenant AI Gateway that lets organizations connect OpenAI, Anthropic, Gemini, Azure OpenAI, DeepSeek, Grok, and Ollama behind one governed funnel — with per-employee token limits, full audit trails, and real cost tracking on every request.
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- Lower AI spend
- 38%
- Requests audited
- 100%
- Providers, one gateway
- 7
Lower AI spend
Requests audited
Providers, one gateway
Live request flow
StreamingEmployee prompt
Policy check
Provider routed
Response logged
chat-panel.tsx sends the request
GPT-4o
Model routed
142ms
Latency
$0.0021
Request cost
Works with every major AI provider
The AI era has arrived. But organizations need more than another AI tool — they need control of the ones they already use.
An AI governance platform, not just an API proxy.
Sunesix lets organizations safely manage every AI provider through one gateway — with the multi-tenant, security, and billing primitives enterprise rollouts actually need.
Multi-Tenant SaaS
Every company gets a structurally isolated workspace — enforced at the query layer, not by convention.
AI Gateway
One funnel for every provider. Business code never touches a provider SDK directly.
Enterprise Security
Encrypted credentials at rest, dual-portal auth, zero-trust tenant boundaries.
RBAC
Roles and permissions are data, not hardcoded checks — define custom roles per company.
Module Marketplace
Install, enable, and configure business modules with zero downtime and zero redeploys.
Cost Optimization
Real, provider-reported token cost logged on every request — not estimated.
Audit Logs
Every sensitive action — logins, permission changes, AI requests, billing — is logged and reviewable.
Analytics
Live usage dashboards down to the individual employee and model.
Billing
Plan-based and module-based billing, with a configurable bundled token allowance.
Team Collaboration
Department structures, manager tiers, and shared workspace context out of the box.
It starts with one decision: every AI interaction begins through one trusted gateway.
Every provider. One governed funnel.
Connect all 7 major AI providers once, and every module, employee, and workflow calls one internal gateway instead of wiring up its own credentials.
- One integration point for every provider — business code never touches a provider SDK directly
- Bring your own encrypted keys, or draw against your company's account balance instead
- Automatic retry on transient failures, with fallback to a backup model if a provider goes down
- Real, provider-reported token cost logged on every single request
Single Unified Gateway
AIGatewayService.chat(...) — one call, any provider
Behind that gateway, humans define the routing policy — the platform just carries it out, request by request.
Routing decision
AutomaticRequests route themselves — you set the policy.
Every request is evaluated against live conditions and your configured policy, then routed to the right provider automatically.
Try it — pick a condition and watch the route change. Your policy decides; the platform executes.
The same policies control spending — before AI consumes resources, not after the invoice.
Set the ceiling. We enforce it in real time.
Department, employee, project, and model-level caps — daily and monthly — checked before a request ever reaches a provider.
Quota usage by department
$620 / $1,000
$8,400 / $10,000
$17 / $50
$960 / $1,000
And because humans set the rules, every AI decision stays transparent and reviewable.
Nothing happens off the record.
Every sensitive action across the platform — an AI request, a permission change, a billing event — is captured in an append-only audit trail.
Audit trail
Live-style preview — illustrative events
Complete audit logs
Every AI request, permission change, and billing event — append-only.
Prompt & usage history
Full conversation and consumption history, reviewable per employee.
Role-based permissions
Custom roles beyond the four built-in tiers, granted per object.
Policy enforcement
Quotas and model restrictions checked before a request is sent.
Approval workflows
Waitlist and provisioning flows route through explicit approval.
Compliance-ready
Structural isolation and encryption designed for audit review.
What gets recorded can be observed — humans continuously measure and improve how their teams use AI.
See exactly where every token goes.
Live dashboards break down usage by model, department, and employee — the same data every request logs automatically.
0
Requests today
0ms
Avg. response latency
0%
Success rate
$0
Monthly spend
Request volume — last 24h
Cost by department
- Engineering38%
- Marketing24%
- Support18%
- Sales12%
- Ops8%
That feedback loop is where the money is: good governance doesn’t slow innovation — it removes waste.
Governance doesn't slow teams down. It pays for itself.
Illustrative platform-wide benchmarks — a snapshot of what per-employee quotas, automatic fallback, and model routing add up to at scale.
0B+
AI tokens saved
$0
Monthly cost saved
0%
Lower AI costs
0%
Faster AI operations
0+
Teams using the platform
0%
Gateway uptime
Modeled AI spend — unmanaged vs. governed by Sunesix
None of this is bolted on. Here’s the infrastructure that makes trusted AI possible.
Every request follows the same governed path.
No side channels, no per-module shortcuts — every layer the request passes through is shared infrastructure.
01Users
Employees and admins across every tenant workspace
02AI Gateway
One funnel — gateway_core mounts every request at /api/v1/
03Governance Layer
Token Limiter and policy modules check quota before routing
04Provider Router
Model registry resolves the right adapter, with fallback
05AI Providers
OpenAI, Anthropic, Gemini, Azure OpenAI, DeepSeek, Grok, Ollama
06Analytics
Real, provider-reported usage rolled up per tenant
07Audit Logs
Append-only record of every sensitive action
08Billing
Plan and usage-based charges against the logged activity
09Reports
Exportable views for admins and platform operators
On that foundation, governance grows as modular capability — installed, not rebuilt.
A marketplace, not a monolith.
Every governance capability is an installable module. Turn it on for your workspace — no redeploy, no waiting on a release.
Spend Limiter
Dynamic per-employee and per-group AI spend quota enforcement in dollars, with position-based multipliers and a rolling historical spend ledger.
Agentic Token Reducer
Detects sequential multi-turn conversations stuck in a repeating loop and kills them before further tokens are spent.
MCP Router
Permission-scoped routing to tenant-configured Model Context Protocol servers, governing access to internal filesystems and databases.
File Request Stopper
Blocks or size-caps heavy file uploads (PDF/PPT/DOCX) at the proxy layer, per company or per department.
Image Generation/Upload Blocker
Blocks image generation requests and/or image uploads to the AI Gateway.
Dynamic AI Model Selector
Lets employees or policies pick the best model per request from the model registry.
Auto Clear Context Windows
Automatically clears and resets conversation context after a configurable period.
Optimized Prompt
Rewrites and optimizes prompts before they reach the provider to reduce token spend.
Redundant AI Reruns Stopper
Detects and blocks near-duplicate repeat requests within a short window.
Output Accuracy & Brand Safety
Scans every AI response before it reaches the client — malformed structured output that would crash downstream code, offensive language, and competitor mentions.
Prompt Injection & Security Defense
Blocks and logs prompt-injection and jailbreak attempts before a hostile prompt ever reaches the model or backend systems.
Plus more in active development — see what’s on the roadmap.
Browse full marketplaceAnd under all of it: trust built into every request, by construction.
Built to pass the security review, not just the demo.
Isolation, encryption, and auditability aren't add-ons — they're the architecture every request runs through.
Tenant A
Tenant B
Tenant C
No query path can cross this boundary — by construction, not by convention.
Multi-Tenant Isolation
Query-level isolation via a request-bound context variable — structural, not conventional.
Encrypted API Keys
Every stored provider credential uses field-level Fernet encryption at rest.
Role-Based Access Control
Data-driven roles and permissions, down to individual objects.
Secure Authentication
Dual-portal JWT auth with device/session tracking and forced password resets.
Audit Trails
Every sensitive action — logins, permission changes, AI requests — is logged.
Compliance-Ready
Architecture built around the primitives compliance reviews look for first.
Data Privacy
Employees never see raw provider credentials — decrypted only in-request, in-memory.
Zero Trust Boundaries
No implicit trust between tenants, modules, or provider integrations.
So what does adopting governed AI actually look like? Four steps.
Live in four steps.
Connect AI providers
Add encrypted credentials for OpenAI, Anthropic, Gemini, or any of the 7 supported providers.
Configure policies & limits
Set department, employee, and project token quotas, and pick which modules to enable.
Teams start using AI
Employees get access through whatever the Company Admin enables — governed automatically.
Monitor & optimize costs
Watch real usage roll in and adjust quotas, models, and modules without a redeploy.
Better yet — experience it yourself, before you sign up.
Explore the platform before you sign up.
A simulated look at the chat, analytics, and module experience your team will actually use.
Illustrative preview — not a live session
Now hold that next to the alternative: unmanaged AI, side by side with governed AI.
Unmanaged AI access doesn't stay small.
Every one of these problems is invisible on day one, and expensive by month six.
Governance centralized means developers inherit simplicity — one API, one envelope, one schema.
{ "success": true, "data": { "model": "gpt-4o", "provider": "openai", "used_fallback": false, "usage": { "input_tokens": 214, "output_tokens": 86, "cost_cents": 0.21 } }}API-first, because it has to be.
The frontend itself is just a client of the same gateway you'd integrate against — there's no private shortcut.
- One mount point — every endpoint lives under /api/v1/, nothing scattered across services
- A live OpenAPI schema at /api/docs/, generated from the real endpoints, not hand-written
- One consistent response envelope on every call — success and error shapes never vary
- Official client SDKs are on the roadmap — today, integrate directly against the OpenAPI schema
Enterprise trust isn’t claimed, it’s earned — so here’s exactly what’s true today.
What's true today, stated plainly.
We'd rather tell you exactly what's built than lead with a badge wall.
Encryption at rest
Every stored provider credential is field-level encrypted (Fernet) — plaintext exists only in memory, only during the request that needs it.
Structural tenant isolation
Data isolation is enforced by the query layer itself via a request-bound context variable, not by developers remembering a filter.
Append-only audit logging
Company approval, module publish/remove, waitlist approval, and every AI request are logged — logs are never edited or deleted.
No third-party certifications yet
We haven’t pursued SOC 2 or ISO 27001 yet — the architecture is built around the primitives those audits check first (isolation, encryption, audit trails), but we won’t claim a certification we don’t hold. Talk to us directly about your compliance requirements.
And governance doesn’t stand still — it evolves continuously, in the open.
What's shipped, and what's next.
Built honestly: modules and integrations below are clearly separated by what's live today versus what's planned.
Live today
- Multi-tenancy, RBAC engine, module registry & marketplace
- AI Gateway — 7 provider adapters, retry/fallback, streaming, cost tracking
- Dual-portal JWT auth, audit logging, billing (plans/subscriptions/invoices)
- 12-module governance catalog, led by the Token Limiter reference module
In active development
- Real payment gateway integration for billing
- Second and third full reference modules beyond Token Limiter
- Push/SMS notification channels
- Per-tenant AI provider health aggregated into one platform view
On the roadmap
- CRM AI, HR AI, Finance AI, Document Intelligence modules
- Workflow Automation & a preconfigured Employee AI Assistant
- Slack, Microsoft Teams, Google Workspace, Jira, GitHub, Salesforce, Notion, Zapier, and webhook integrations
- Official client SDKs on top of the existing OpenAPI schema
Planned modules
CRM AI
HR AI
Finance AI
Document Intelligence
Workflow Automation
Employee AI Assistant
Planned integrations
What does all of that add up to? Measurable outcomes — model them with your own numbers.
Estimate what governed AI saves you.
A rough model based on the platform-wide benchmark above — plug in your own numbers.
$2,052
Estimated monthly savings
$24,624
Estimated yearly savings
Modeled at a 38% reduction — an illustrative benchmark, not a quote.
The teams already working with us validate the approach.
What design partners are telling us.
Sunesix is pre-launch — these are illustrative quotes from early design-partner conversations, not published customer testimonials.
“We went from every team wiring up its own API key to one policy screen. The audit trail alone made our security review painless.”
Design partner, IT Director
Mid-market SaaS company
“Per-department token quotas meant we could roll out AI access broadly without an open-ended bill at the end of the month.”
Design partner, VP Engineering
B2B platform team
“Module install/enable with zero redeploys is the part our platform team cares about most — governance changes don't wait on a release.”
Design partner, Platform Lead
Internal tools team
Start small, then scale governance as your organization grows.
Simple, module-based pricing.
Pay for the modules and AI usage you actually need — nothing bundled you won't use.
Starter
Full platform access for teams bringing their own AI usage budget.
$20 per month
- All 7 AI providers
- Every module unlocked
- $0 bundled balance — top up as you go
Growth
Full platform access with a bundled account balance included.
$100 per month
- All 7 AI providers
- Every module unlocked
- $90 of account balance included
- Priority support
Enterprise
Full platform access, fully usage-based — no base fee.
Custom
- All 7 AI providers
- Every module unlocked
- 100% of cost billed against your account balance
- Dedicated support & SLA
Need the full comparison? See detailed pricing
A few questions usually remain — answered plainly.
Questions, answered plainly.
Ready to govern AI at enterprise scale?
Connect your first provider in minutes, set your policies, and give every team governed AI access — without giving up visibility or control.
Get updates as we ship
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