Cost visibility and governance
for every AI provider you use.
Tokenistt is an AI FinOps platform and AI infrastructure startup helping enterprises save on LLM costs. Track spend, enforce budgets, and govern access across OpenAI, Anthropic, Google, and every model you run — enterprise AI cost savings from one control plane.
Track spend, enforce budgets, and govern access across every provider and model your teams run — one gateway, one bill you can actually explain.
What you'd actually look at every morning.
Illustrative product preview — not a live customer account. This is the shape of the dashboard: budget alerts, per-team spend, and a forecast, across every provider you connect.
Product preview — illustrative data, not a live customer dashboard.
One endpoint. Every provider.
Tokenistt ships as a single gateway in front of OpenAI, Anthropic, Google, and any custom endpoint. Point your app at it once and every request gets tracked, budgeted, and routed automatically.
Track cost per request, across every provider.
Tokenistt parses every request routed through the gateway — input cost, output cost, and the cheapest provider that could have handled it — in under 2ms, at the edge of every call.
Set the cap. Enforce it automatically.
Set spend caps per team, per provider, or per project. Tokenistt tracks against them in real time and throttles, pauses, or alerts before you blow past next month's budget.
Centrally govern access across every provider.
Model whitelists, key rotation, PII redaction, and full audit trails — set once per org, enforced on every provider your teams connect.
You don't rebuild your reporting stack around us — we report into it.
Tokenistt isn't another silo. These are the integrations on our near-term roadmap.
Nothing above is live yet — this is our near-term integration roadmap, not shipped functionality.
Same request. Cheapest capable provider. Zero regressions.
Tokenistt classifies each request, picks the cheapest model that can handle it across every connected provider, then verifies output quality against your eval set before it ships.
Score each request by complexity, required capability, and latency budget.
Rank every connected provider/model that can meet the quality bar, cheapest first.
Run the candidate against your eval set. Measure quality parity before switching.
Send live traffic to the winner. Fall back automatically on quality or latency drift.
Infrastructure-grade. By default.
Tokenistt runs in your VPC, with your own provider keys, on your terms. SOC 2 in progress, region pinning, no prompt logging by default.
Where the bigger vision lives — briefly, not as the pitch.
A concrete example of where this goes: today, a company can tell you their chatbot cost $5K this month. They can't tell you the cost per visitor, the AI contribution to CAC, or whether the feature is worth what it costs. That's the question Phase 2 answers — by connecting spend data to the usage and business data our customers already have.
We build Phase 1 first because it's the infrastructure every later phase depends on — and what we can sell and support credibly today.
Pricing built for the platform team, not the developer's own wallet.
Starts at $299/mo for a single gateway across providers. Custom pricing for org-wide governance.
One gateway across OpenAI, Anthropic, and Google. Cost tracking and budgets for one org.
For teams governing spend across multiple providers, teams, and projects.
For platform teams rolling AI spend governance out org-wide, with VPC deployment.
