Routing Intelligence for Tomorrow.
The future will not run on one model. It will run on billions of decisions. Celexta routes them.
AI is becoming a network of models, agents, tools, memories, and machines. Celexta is the routing layer.
Celexta is building the intelligence infrastructure layer for AI applications, autonomous agents, and embodied machines.
One routing layer. A constellation of products.
From the API request to the autonomous agent to the machine on the edge — every decision routed by Celexta.
Celexta Router
LiveRoute every AI request to the best model.
Celexta AgentFlow
SoonMake agents cheaper, safer, and more reliable.
Celexta Eval Lab
SoonFind the best model path with evidence.
Celexta Control Plane
SoonGovern and optimize AI execution across your organization.
Celexta Edge
SoonRoute intelligence locally.
Celexta RobotFlow
SoonRoute intelligence for embodied AI.
Celexta Edge Core
SoonThe local nervous system for intelligent machines.
OpenAI-compatible. Change one line.
Keep your SDK. Point the base URL at Celexta and route across providers automatically — while tracking cost, latency, and reliability for every request.
- Drop-in OpenAI-compatible API
- Route across providers with one model alias
- Track cost, latency, and reliability per call
import OpenAI from "openai";
// Point your existing OpenAI SDK at Celexta.
const client = new OpenAI({
baseURL: "https://api.celexta.com/v1",
apiKey: process.env.CELEXTA_API_KEY,
});
// Same call. Celexta routes it to the best model,
// then tracks cost, latency, and reliability.
const res = await client.chat.completions.create({
model: "auto",
messages: [{ role: "user", content: "Route this." }],
});Route every step of every agent.
Autonomous systems make thousands of decisions. Celexta routes each one — optimizing planning, tool use, memory, safety, and execution to reduce the cost per successful task.
Planning
Pick the right model for each reasoning step.
Tool use
Route tool calls to the cheapest capable path.
Memory
Decide what to recall, store, and forget.
Safety
Apply guardrails before execution, not after.
Execution
Run reliably, retry intelligently, fail gracefully.
Cost per task
Optimize for successful outcomes, not raw tokens.
Control the entire surface of AI execution.
Budgets, policies, and audit logs across every team and provider — with privacy-first metadata logging by default.
Budgets
Set spend limits per team, key, and workload. No surprise bills.
Policies
Constrain which providers and models can serve which requests.
Audit logs
A complete, queryable record of every routed decision.
Provider controls
Allow, deny, and prioritize providers across your organization.
Privacy-first logging
Metadata-level observability by default. Your payloads stay yours.
Routing moves to the edge, the machine, and the silicon.
Intelligence will not stay in the data center. As reasoning spreads to devices, robots, and hardware, the routing layer follows it everywhere.
Edge AI
Routing that runs where the data lives — low latency, no round trip.
Robotics
Intelligence routed in real time for embodied machines and fleets.
Local + cloud reasoning
Decisions split fluidly between the device and the network.
Hardware-level routing
A future where routing is built into the silicon itself.