AI infrastructure, under your control

Make every AI request work smarter.

TAKORAA is the intelligent control layer between your product and the world's leading AI providers. Route better, spend deliberately, and see what every request is doing.

Built to beProvider agnostic
LIVE REQUEST optimized
POST/v1/chat/completions
model"openai-auto"
intent"structured extraction"
context"customer support thread"
TAKORAA DECISION LAYER
R
ROUTEBest-fit model tier
C
CONTEXTLow-value history removed
Q
QUALITYGuardrail policy attached
SCROLL TO EXPLOREROUTING · CONTROL · OBSERVABILITY

The missing layer in your AI stack

Your app should choose outcomes. Not wrestle with model plumbing.

Provider SDKs make it easy to send a request. They do not tell you when to route down, what context to remove, whether a repeat is cacheable, or where the money went.

TAKORAA turns those decisions into a policy your team can inspect, tune, and improve.

One layer. Six leverage points.

Optimize the work around the model.

TAKORAA makes AI operations a designed system—not a pile of one-off provider decisions.

01

Intelligent model routing

Send each request to the right model tier for the task—without rewriting your application logic.

02

Context that earns its keep

Remove low-value conversation history before provider calls, with configurable rollout and safe retry controls.

03

Safe response reuse

Cache repeatable classification and extraction work while keeping dynamic, high-context requests fresh.

04

Quality-aware recovery

Choose how suspicious responses are judged, retried, or escalated—before premium fallback can add cost.

05

Spend you can explain

Compare tracked estimates with provider billing signals and break usage down by app key, model, and request.

06

One control plane

Manage provider connections, optimization profiles, routing policies, and API keys from one operational surface.

From request to evidence

Three moves.
One smarter stack.

Add TAKORAA at the point where every AI call already passes. Then let policy—not scattered application code—shape the outcome.

01

Connect once

Point your OpenAI-compatible client at TAKORAA and keep the request shape your team already knows.

02

Set the policy

Choose balanced or aggressive optimization, then tune routing, caching, pruning, quality, and fallback controls.

03

Prove the outcome

Follow the request trail from model decision to token usage, estimated cost, and provider-side billing data.

Make optimization operational

Control the cost curve. Keep quality in the room.

Start with a profile, then tune the pieces that matter to your workload. Every control is explicit, reviewable, and reversible.

  • Roll out context pruning gradually
  • Separate cache policy by request type
  • Gate fallback by quality and cost
  • Override policy for a specific app key
Optimization policyProduction default
● Saved
DisabledBalancedAggressive
Model routingMatch task complexity to model tier
Response cacheReuse safe, repeatable responses
Context pruning rolloutSend less low-value history
50%
Quality judgeInspect suspicious responses
Suspicious only⌄
Discard changesSave changes

See the whole operating picture

From every request
to every cost signal.

Trace model choices, compare estimates with provider billing, and understand which apps, keys, and workloads are shaping spend.

OverviewRequestsAPI keysControls
OverviewYour AI operating picture
Last 30 days⌄
Tracked spendEstimates + actualsProvider-aware
OptimizationRouting + cachePolicy-controlled
QualityJudge + fallbackGuardrails visible
Request cost trendEstimated and provider-reported signals
•••
Requests by modelSelected model families

Fast tieractive

Balanced tieractive

Premium tiergated

A familiar interface, a smarter path

Change the base URL. Keep shipping.

Use an OpenAI-compatible endpoint for chat completions, select an auto model family, and move optimization policy out of application code.

Get an API key
cURLQuick start
curl https://api.takoraa.com/v1/chat/completions \ -H "Authorization: Bearer $TAKORAA_API_KEY" \ -H "Content-Type: application/json" \ -d '{
    "model": "openai-auto",
    "messages": [{
      "role": "user",
      "content": "Extract the key decisions."
    }]
  }'
OpenAI-compatiblePolicy applied server-side

Your AI stack can be smarter today

Stop treating every
request the same.

Put routing, optimization, and observability in one place—and give your team a clear way to improve the economics of AI.