Relay AI Gateway | Reduce AI Model Spend | Search Atlas

Managed AI infrastructure by Search Atlas

Stop paying premium prices for every AI request.

Relay gives AI-heavy teams one managed gateway across leading coding and language models—then routes each workload to the best-value model that meets your quality target.

Built for teams spending $10k+/month on AI models

Live routing policy

Quality first · cost optimized

Coding agent

Qualified

Claude Code

Routed

Content extraction

Qualified

Haiku

Lower cost

Long-context research

Qualified

Kimi

Best fit

Fallback path

Ready

Codex

Standby

Every route is measured against your approved quality bar.
One gateway acrossClaude CodeFableSonnet + HaikuCodexAntigravityKimiNemotron

The margin problem

Your model bill grew up. Your routing stack didn’t.

The best model is not the best model for every request.

Teams overpay when premium models handle work that faster, lower-cost models can complete at the same quality bar.

Provider plumbing quietly becomes a full-time job.

Retries, rate limits, account capacity, model changes, failover, and usage reporting steal engineering time from the product.

A lower bill is useless if nobody can prove why it moved.

Relay benchmarks the baseline and records cost, quality, latency, and reliability so finance and engineering see the same answer.

What Relay operates

One endpoint. More leverage.

Keep the upside of a multi-model stack without owning every integration, retry policy, quota failure, and cost dashboard yourself.

01

One endpoint

Keep your application integration simple while Relay handles provider and model routing.

02

Managed failover

Recover from provider errors, exhausted capacity, and model outages automatically.

03

Quality-aware routing

Use the lowest-cost qualified model, not the cheapest model at any cost.

04

Spend visibility

See cost by workload, model, provider, team, and routing decision.

05

Hands-on optimization

Search Atlas implements the changes instead of handing you another dashboard.

06

0% provider markup

During the design-partner pilot, provider costs pass through without an inference markup.

Model access

Use the right intelligence for the job.

01

Claude Code

Anthropic-compatible access for coding agents

02

Fable

Managed Anthropic capacity and resilient fallback

03

Sonnet + Haiku

Match quality and speed to each workload

04

Codex

Route across the full Codex model family

05

Antigravity

High-throughput agentic engineering capacity

06

Kimi

Long-context and research workloads

07

Nemotron

Open-model economics with enterprise throughput

New models, continuously.

Relay keeps the integration layer current as providers and model economics change.

90-day pilot

Prove it on a real workload.

No broad migration. No hand-wavy savings claim. Start bounded, measure everything, and expand after the economics are proven.

01

Map the spend

We baseline 14–30 days of model usage, costs, latency, errors, and workload patterns.

02

Set the quality bar

You approve the tests that a routed workload must pass before any production traffic moves.

03

Route one workload

We migrate a bounded workload first, with managed fallback and transparent reporting.

04

Verify the savings

You receive a weekly ledger showing the counterfactual cost, routed cost, and net savings.

Design-partner pricing

We win when the savings are real.

A base managed-service fee covers routing, reporting, support, and optimization. The performance fee only applies to positive net savings that pass your agreed quality threshold.

Implementation waived for the first 3–5 partners
Provider usage passed through at 0% markup
90-day paid pilot
$10k/month minimum baseline AI spend

Managed platform

$2,500 / month

Performance alignment

20% of verified net savings

Apply for the pilot

Bring the bill. Leave with the routing plan.

Book a working session with Manick. We’ll identify where premium-model spend is justified, where it is not, and what a bounded Relay pilot would look like.

Speak to Manick
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