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I'd use this

B2B AI procurement and governance

Stop buying AI one provider at a time.

TokenBridge sits between your apps and every model provider so engineering can ship faster, finance can forecast spend, and security can enforce policy from one control plane.

OpenAI-compatible gateway Cost and quality routing PII, budget, and region policies
route.preview

incoming request

SDK Policy Router Provider
decision = argmin(cost)
where quality_score ≥ tier
and p95_latency ≤ SLA
Mistral Large $0.0021 score 84
Claude Sonnet $0.0057 score 94
Gemini Pro degraded hold

Market signal

AI gateways have become the enterprise control layer for access, policy, observability, and model mediation.

Read IBM's AI gateway primer

The wedge

The AI stack has a finance and governance problem.

01

Contracts are fragmented.

Teams sign separate provider deals, juggle different rate cards, and still hard-code provider SDKs into the product.

02

Spend is not forecastable.

Usage spikes, prompt changes, and premium model defaults turn AI features into a moving COGS line.

03

Governance is bolted on.

Security teams inherit shadow AI usage without PII policy, region pinning, model allow-lists, or audit evidence.

04

Every app becomes a model procurement team.

The larger the AI roadmap gets, the more every SaaS company needs neutral routing, observability, and procurement leverage outside the model providers themselves.

The platform

One gateway. Five control points.

TokenBridge replaces direct provider calls with a neutral API that routes, governs, caches, observes, and reconciles every request.

02 Cache

Semantic reuse without cross-tenant leakage.

Exact and vector cache reduce repeated token spend while keeping regulated customers tenant-scoped by default.

03 Policy

PII, budgets, models, and geography.

Rust/WASM policies check requests before provider calls and create evidence for finance, security, and legal.

04 Observability

Cost per feature, customer, team, and model.

Engineering gets traces. Finance gets allocation. Procurement gets a rate-card view of every provider.

05 Failover

Provider degradation should not break your product.

Circuit breakers move traffic to the next compliant model when latency or error rates cross the line.

Architecture

A procurement-grade path for every token.

Customer app SDK or REST proxy
Gateway Auth, tenancy, rate limit
Policy guard PII, budget, region
Router Cost plus quality
Providers OpenAI, Anthropic, Google, Mistral
Telemetry Billing, audit, analytics

Savings model

Show finance the before and after.

Slide the routing and cache rates to see how much of today's token spend could come off. Routing savings come off first, then cache savings apply to what's left.

28%
12%
Saved by routing 28%
Saved by cache 8.6%
Total cut in token spend 36.6%
Routing Cache Still spent

Buyer narrative

One product, three reasons to say yes.

TokenBridge is a wedge into engineering, finance, security, and procurement because each group already feels the AI scaling pain differently.

Primary wedge

Ship AI features without hard-coding the model market.

Engineering gets an OpenAI-compatible API, provider failover, latency-aware routing, and cost attribution by feature.

  • Drop-in SDK and REST proxy
  • Daily model quality benchmarks
  • Headers for route decision, failover, and cache hit

Go-to-market

Recruit 10 design partners before building the whole company.

Months 0-2

Prototype

Clickable dashboard, 3 provider adapters, shadow-routing demo, initial savings model.

Months 2-4

Alpha

10 mid-market SaaS design partners, live traffic, billing, SSO, and POC playbook.

Months 4-7

Beta

SOC2 in progress, semantic cache, 8 providers, and CFO-ready spend reconciliation.

Months 7-10

GA

Public launch, provider marketplace, audit exports, and enterprise sales motion.

FAQ

Questions the first buyers will ask.

Do we need to change our app code?

For most teams, TokenBridge starts as an OpenAI-compatible base URL swap plus metadata headers for task class, quality tier, region, and budget scope.

Will routing hurt quality?

Routes are constrained by task-specific quality thresholds, latency SLAs, region rules, allow-lists, and customer feedback signals before cost is optimized.

How do you prove savings?

TokenBridge compares pre-optimization list-price baseline spend against routed, cached, and negotiated provider costs.

What happens with sensitive prompts?

Policy runs before provider calls. Regulated tenants can use zero-retention mode, no cross-tenant cache, PII redaction, regional pinning, and audit exports.

Clickable prototype

See the control plane with demo data.

Open the app to try the router lab, policies, provider switches, the audit log and savings reconciliation. Everything in it is made up.