FOR AI AGENT DEVELOPERS
Cut inference cost—without rewriting your stack.
BabelFish is a drop-in edge proxy that compiles repetitive LLM calls into deterministic code. Change one URL and your predictable steps run locally.
Deterministic steps become deterministic. Reasoning stays on the model.
Stop burning tokens on predictable steps. Join the beta and see your costs drop.
Every agent call hits the same API. Most of them don’t need to.
Your agent re-classifies the same intents, re-extracts the same fields, and re-validates the same formats—thousands of times a day. Each call adds cost, latency, and a fresh chance to hallucinate.
Redundant calls
Most production LLM calls follow patterns already seen.
Hallucination risk
Every non-deterministic call is another roll of the dice on output quality.
Margin erosion
Per-call API costs × millions of calls = your SaaS margin, gone.
BabelFish watches, learns, compiles.
Change one URL. BabelFish silently profiles execution, clusters repeated call patterns, and compiles safe replacements that run locally—no API, no latency, no hallucinations.
Observe
Point your agent at BabelFish. It logs structural call patterns (no PII, no payloads).
Learn
Clustering identifies the calls that repeat—and the ones that don’t.
Compile
Deterministic code replaces the repeatable calls. Reasoning stays with the LLM.
Observe
Point your agent at BabelFish. It logs structural call patterns (no PII, no payloads).
Learn
Clustering identifies the calls that repeat—and the ones that don’t.
Compile
Deterministic code replaces the repeatable calls. Reasoning stays with the LLM.
One line. That’s it.
Swap your base URL. No SDK, no config files, no infra changes.
Compatible with any OpenAI-compatible client — LangChain, LlamaIndex, LiteLLM, and raw SDKs.
What compiles?
BabelFish targets the agent steps that are repetitive and deterministic — leaving genuine reasoning to the LLM.
Classification & routing
Intent detection, topic routing, category assignment.
Structured extraction
Name, address, date, amount — parsed from known formats.
Guardrail checks
PII detection, toxicity filters, format validation.
Format transformation
JSON ↔ XML, markdown → HTML, schema migration.
Retrieval re-ranking
Static relevance scoring that doesn’t change per query.
Prompt chains
Multi-step prompts with fixed templates and variable slots.
Every compiled path is tested before it runs.
BabelFish doesn’t just compile — it validates. Canary testing, automatic rollback, and continuous drift detection ensure compiled paths stay accurate.
Canary deployment
5% of traffic tests the compiled path against the LLM baseline. Mismatch → instant rollback.
Drift detection
Continuous monitoring catches when real-world inputs diverge from training patterns.
One-click rollback
Any compiled path can revert to the original LLM call in under 1 second.
See what your agents actually do.
Nexus is the governance and observability layer for your agent fleet. Visualize execution paths, set guardrails, and audit every decision — before and after compilation.
Deploy your way.
BabelFish runs wherever your agents run. Choose the deployment model that matches your compliance and performance requirements.
Hosted Cloud
Fastest start. Managed infrastructure, zero ops overhead. Data processed in-region.
VPC
Runs inside your cloud account. Your network, your rules, our updates.
On-Prem
Air-gapped deployment for regulated industries. Full data sovereignty.
The numbers.
Massive
cost reduction on compiled paths
Near-zero
latency for compiled calls
Zero
prompt data retained
Start compiling in 5 minutes.
Change one URL. BabelFish handles the rest — observing, compiling, and deploying deterministic paths. Join the beta and start saving.