NeuroRoute sits between your app and every AI provider — classifying each request and routing it to the optimal model on quality, cost, and latency. One endpoint. Measurable savings.
AI spend rarely blows up in one dramatic moment. It leaks — a little on every call, on every key, every day — until finance asks why the model line grew 4× and engineering has no answer. Here's where it goes.
Someone wires the most powerful model as the default "to be safe," and every request — a one-line classification, a status summary, a yes/no — now bills at flagship rates. The single most expensive line in the model list quietly becomes 100% of traffic.
Retries, oversized system prompts re-sent on every call, verbose RAG context, uncapped max_tokens, runaway agent loops. None of it shows on a dashboard until the invoice lands — and by then a quarter of the bill is boilerplate nobody read.
Provider invoices are a single monthly number. You cannot see which team, which key, or which feature burned it — so you cannot fix it. Spend grows faster than usage and nobody can say exactly why.
A cheaper model isn't a worse answer — for most tasks it's the same answer for cents on the dollar. NeuroRoute classifies each request and routes it to the cheapest model that still clears the quality bar you set.
| Model | Quality index | Output $ / 1M | vs flagship |
|---|---|---|---|
| Claude Opus 4.8 Flagship default | 98 | $25.00 | baseline |
| Claude Sonnet 4.6 Balanced pick | 95 | $15.00 | 1× cheaper |
| Gemini 3.5 Flash Fast + capable | 90 | $0.30 | 83× cheaper |
| Gemini 3.1 Flash-Lite Cheapest that clears the bar | 80 | $0.15 | 166× cheaper |
Published list prices from the live catalog. A quality index of 90 vs 98 is imperceptible on a summary or a classification — but it is the difference between $25.00 and $0.30 per million output tokens.
Stop maintaining six provider integrations and guessing which model is cheapest today. Integrate once; NeuroRoute picks the model per request and you pay only for what actually ran.
Point your OpenAI base URL at NeuroRoute. Same request format, same SDKs, streaming, tools and multimodal. Nothing else in your code changes.
OpenAI, Anthropic, Google, Vertex, Azure, AWS Bedrock, Groq, xAI, DeepInfra, self-hosted vLLM — 30+ models behind one endpoint. No per-provider integrations, no SDK sprawl.
Keep your own provider keys and pay providers directly at published rates; NeuroRoute adds a flat monthly fee plus a transparent per-1M-token rate. No minimums, no seats you don't use — model your bill before you send a request.
Seven strategies — cheapest, fastest, best-quality, balanced, task-aware, cascade (cheap-first, escalate only on failure), and Fusion (fan the prompt to the top-N models in parallel; an independent judge picks the best answer). Set the strategy per key or per request.
Not everyone in the company is going to call an API. NeuroChat is a chat workspace on the same gateway: your people get the assistant they already know how to use — documents, projects, agents, web search, memory — and you get the model choice, the per-person bill and the data controls a seat subscription cannot offer.
Your people pick “NeuroRoute” and the router chooses per prompt. Nobody has to learn which model is good at what, or what it costs.
Every message metered per person and per request, with chargeback tags. A flat seat price cannot tell you which team spent what.
Conversations are kept only as long as you say — down to storing nothing at all — with at-rest encryption under a key you can hold and revoke.
Pick a task. Watch NeuroRoute classify it, score the candidate models, and route to the cheapest one that clears the bar — with the savings figured against a flagship baseline.
A compromised service account or a committed API key can burn six or seven figures in a single day — modern models are fast enough to spend faster than any human notices. NeuroRoute caps the blast radius before it happens.
Key leaks at 2am → attacker (or a bug) hammers the most expensive model → unbounded spend all night → you find out from the invoice, days later. Nothing stopped it.
Same leak → that key hits its $50 daily cap in minutes and every further request is rejected at the door. Damage is bounded to one key's limit. The rest of the org never notices.
Declare a $ cap for a multi-step agent loop with a single header. The run is stopped the moment it exceeds the cap — before any overage reaches your key or org limit.
Give each app, environment, or teammate its own daily and monthly $ cap. A runaway loop or a leaked key stops at its own limit — not your whole budget.
A hard daily and monthly ceiling across everything. Reached it? Requests are rejected before they cost a cent, with clear headers so clients can back off gracefully.
A global guardrail across every customer and key — the last line of defense against a bad day cascading into a bad invoice.
Every dollar is measured against actual provider cost, in absolute USD, on daily and monthly windows — with an early-warning header as a key approaches its limit. Set it once from the dashboard; enforcement happens before any model is ever called.
Putting a gateway in front of every AI call only makes sense if the gateway is the most trustworthy thing in the path. Store nothing by default, encrypt what you choose to keep, erase it on demand, and export it whenever you want.
Choose your posture per org: zero-retention modes store nothing at all — no conversations, no caches, nothing to breach. And you don't have to take our word for it: every single response carries an X-Data-Retention header proving the posture it was served under.
If you do retain, content is sealed with per-org AES-256-GCM keys wrapped by Cloud KMS, rotated on schedule. Bring your own KMS key (CMEK) from your own cloud project — revoke our access and your data, including backups, becomes unreadable instantly. Your kill switch, not ours.
One-click right-to-be-forgotten: a 7-day cancelable grace, then content is deleted, credentials revoked, identity anonymized, and your encryption key crypto-shredded — finished with a completion certificate. Full GDPR data export (JSON or CSV) any time before or after.
BYOK keys live envelope-encrypted in a managed secret store, used only to call providers and never exposed back — not in logs, not in the UI, not in exports, not to other tenants.
Every request is scanned before routing with checksum-validated detectors (Luhn for cards, Verhoeff for national IDs) that don't cry wolf on invoice numbers. Per-org policy: keep sensitive traffic on self-hosted models, block it, or allow it — enforced automatically.
HMAC request signing, ECDSA JWT sessions, OAuth 2.1 for agent tooling, role-based access control, org-scoped queries down to the SQL, and an audit trail on every admin action. Metadata-only logs — prompt and response bodies are never written to logs.
No fabricated customers, no borrowed logos, no certifications we do not hold. Three commitments that hold at any scale.
A flat platform fee plus a metered per-token rate. Bring your own keys and pay providers directly, or let us manage them at cost. Model your bill before you send a request.
Actual cost vs the premium-model counterfactual, logged per call. No black-box pricing — export it, audit it, take it to finance.
A router, not a model owner. Choose zero-retention and nothing is stored; choose retain and it's encrypted under a key you can hold. Erase or export everything, any time.
One endpoint, every model, hard spend limits, and proof on every request. Pick the tier that fits your scale and start routing today.
