✓ Private beta preview Product walkthrough AI spend governance

Control AI spend before it gets out of hand.

Tokely gives engineering and finance teams a command center for AI API spend, routing decisions, user attribution, budgets, and beta-safe governance controls.

Request beta access

A working product walkthrough right on the homepage.

Visitors can preview Tokely without logging in. The homepage shows a polished product walkthrough, while the full walkthrough can launch in a modal.

Step 1

Connect with one application token.

Customers route sample or staging AI traffic through Tokely using a server-side token. Provider keys stay centralized and redacted.

Token
Active
tkrt_demo...safe
Provider
Ready
secret redacted
Mode
Observe
default safe
Step 2

Observe what happened, who caused it, and why.

Tokely observes each AI request through safe metadata: identity headers, team/project tags, requested model, routed model, task class, cost, latency, policy result, and trace ID.

1. CaptureToken, provider, model, task class, and trace ID.
2. AttributeUser, team, project, environment, and app owner.
3. ExplainRouting reason, risk level, and policy result.
4. ReportCost, latency, savings, budget impact, and trends.
Trace User Team Project Task Cost Observation
tr_demo_101 maya support chatbot summary $0.014 safe downgrade candidate
tr_demo_102 liam product research analysis $0.092 keep quality model
tr_demo_103 ava finance invoice-audit classify $0.008 budget threshold trend
Step 3

Find savings by team, risk, and budget impact.

Tokely does not just show a total. It ranks where savings are possible, which teams are driving spend, how risky each recommendation is, and whether budgets are on track.

Current annualized AI spend
$186K
sample workspace
Savings opportunity
23%
low-risk candidates
Projected annual savings
$42.8K
before enforcement
Team Monthly spend Budget Best opportunity Risk Monthly savings
Support $7.8K 86% used Summaries: Sonnet → Haiku Low $1.9K
Finance $4.6K Projected over budget Classification routing Low $1.1K
Engineering $3.2K On track Review codegen workloads Review $420
Step 4

Governance is conservative by default.

Prompt and response storage are off by default, optimize mode requires approval, and workspace isolation protects multi-tenant environments.

Prompt storage
Off
approval required
Optimize mode
Locked
policy approval
Workspace isolation
Passed
multi-tenant guard

Where Tokely sits in your AI stack.

Tokely is an in-path gateway for the applications you choose to connect, but it should not become a provider lock-in point. Beta rollouts can keep a customer-controlled direct-provider route for fallback.

Normal path plus direct-provider fallback

Tokely sees only the AI traffic you route through it. If Tokely is unhealthy or a workload is not approved for gateway rollout yet, your application can switch back to the provider endpoint you already control.

Normal Tokely path visibility + governance
Your app or agent Server-side AI calls
Tokely gateway Cost, attribution, policy metadata, safe routing recommendations
Model providers Anthropic first; OpenAI and Gemini validated per workspace
Fallback route if Tokely has an issue customer controlled
Your app or agent Timeout, health check, or feature flag
Direct provider endpoint Bypass Tokely temporarily without changing provider accounts
Model providers Customer-owned provider access remains available
Keep provider credentials and direct API access under your control.
Start with staging or observe-only traffic before any optimization policy.
Use app-side timeouts or circuit breakers for production resilience.

Operational rollout pattern

  • Start with sample or staging traffic.
  • Run observe-only before optimization.
  • Define timeout and bypass behavior before live traffic.
  • Approve optimization only by workspace, team, project, or task class.

Provider support

Private beta is Anthropic-first. The product is built around a provider registry so OpenAI and Google/Gemini model families can be validated per workspace as customer keys and rollout needs are confirmed.

How Tokely plans to make money.

Tokely is not a data resale business. The commercial model is software access plus customer-approved savings economics, with billing disabled during private beta unless separately agreed.

1

Platform subscription

Workspace access, request visibility, finance exports, governance, budgets, provider setup, and support for guided rollout.

2

Verified savings economics

Future success-fee discussions would be based on audited request-level savings, only after explicit commercial approval.

3

No data monetization

Tokely does not sell customer data. Prompt and response storage are off by default and remain a customer-controlled setting.

Latency and query analysis stay explicit.

Tokely separates observation, recommendation, and optimization so CTOs can understand the tradeoff before moving production traffic.

A

Observe first

Tokely can begin by logging safe metadata and costs without changing routing or storing prompt bodies.

B

Recommendation before action

Model-fit and savings recommendations can be reviewed before any lower-cost model is used for real traffic.

C

No separate beta analysis fee

During guided beta, analysis is part of the product evaluation. Provider API costs remain visible and attributable.

D

Latency is measured

Tokely tracks provider latency and gateway overhead so beta teams can review p50, p95, and error behavior before expanding traffic.

What beta testers see immediately.

Keep the homepage focused on proof: Tokely is working, safe by default, and ready for guided private-beta onboarding.

🔎

Request visibility

See who is driving AI spend, which models are used, and why routing decisions were made.

💸

Savings proof

Show projected monthly and annualized savings from safe routing candidates before approving any optimization policy.

🛡

Beta-safe controls

Observe-only defaults, metadata-only retention, confirmation modals, and workspace isolation.

⚑

Compliance review path

Prompt and response capture stays off by default. If a customer opts in, Tokely can support review workflows for risky or suspicious AI usage.

Ready to test Tokely with sample or staging traffic?

Start with a founder-led beta setup call. Create an application token, send a first request, and review spend, identity coverage, savings, and routing recommendations together.

Request beta access
Contact Us

Talk with Tokely about a private beta rollout.

Send a short note and Tokely will follow up. Use this for beta access, architecture questions, pricing questions, or provider-support planning.

No prompts or completions needed. Founder-led onboarding. Start with staging or observe-only traffic.