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Jetty

Also known as: Jetty AI, Jetty Solutions

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Agent infrastructureindependentVerified 2026-07-10

Infrastructure for running agentic AI workflows: one OpenAI-compatible endpoint that proxies over 100 LLM providers, runs autonomous agents in isolated sandboxes from markdown runbooks, and applies evaluation loops with full trajectory tracing.

Jetty (Jetty Solutions Inc, Montreal) builds an infrastructure layer for reliable agentic AI. A single OpenAI-compatible chat-completions endpoint operates in two modes: a passthrough proxy across more than 100 LLM providers that records every call as a trajectory, and a runbook mode that provisions an isolated sandbox, runs an autonomous agent defined by a markdown runbook, and returns structured results. Agents run end-to-end workflows, evaluate their own output against rubric or programmatic checks, and retry within bounded iteration until they meet a defined quality bar, with a human in the loop. Trajectories capture full execution traces for observability, and a step library of more than 47 prebuilt activities covers AI models, control flow, data processing, and evaluation. The company raised more than 2 million dollars in pre-seed funding led by AQC Capital and Layers Capital, with participation from Mila and strategic angels.

Vendor details

Canonical URL

https://jetty.io

Category

Agent infrastructure

Funding status

Private, pre-seed. Raised more than 2 million dollars led by AQC Capital and Layers Capital, with participation from Mila Ventures and strategic angel investors. Founded in Montreal, Canada; CEO and founder Jonathan Lebensold.

Company status

independent

Use cases & customers

Primary use cases

Running autonomous agents in sandboxed environmentsMulti-step evaluation pipelinesLLM provider proxying with trajectory tracingReliable production agent deployment

Target customers

DevelopersEnterprise AI teams

Deployment options

SaaS

Integrations

OpenAI-compatible single API endpoint that works with any OpenAI SDK and proxies more than 100 LLM providers; a step library of more than 47 prebuilt activities covers AI models, control flow, data processing, and evaluation. Agents execute tools inside isolated sandboxes.

Capability coverage

7.5 / 14 capabilities · 54%

Integrations & Tool Callingjetty.io and docs.jetty.io: single endpoint runs agents that call tools in an isolated sandbox plus a step library of 47-plus prebuilt activities; no broad third-party connector catalog documented. Partial
Workflow Orchestrationdocs.jetty.io: orchestrates multi-step evaluation pipelines and runs end-to-end agent workflows defined by markdown runbooks with control flow. Full
Knowledge Grounding & RAGNo knowledge grounding or RAG capability documented on jetty.io or docs.jetty.io. Unable to verify
Human Oversight & Guardrailsjetty.io company page: agents iterate with a human in the loop until they meet a defined quality bar. Full
Security, Identity & Governancejetty.io: isolated sandbox execution and audit trails; no SSO, RBAC, or compliance certification documented. Partial
Observability & Auditabilitydocs.jetty.io: trajectories capture full execution traces with inputs, outputs, and metadata for observability. Full
Memory & State PersistenceNo first-class agent memory documented; snapshot environments provide reproducibility, not memory. Unable to verify
Deployment & Data ResidencyHosted API (flows-api.jetty.io) only; no self-host, VPC, or options documented. Unable to verify
Prebuilt Agents / Templates / Packsdocs.jetty.io: step library of 47-plus prebuilt activities; no prebuilt end-user agents. Partial
Triggers & Channel CoverageInvoked via API calls only; no scheduled or event-based triggers documented. Unable to verify
Model Flexibility & Routingdocs.jetty.io: proxies 100-plus LLM providers; switch providers by changing the model field. Full
APIs / SDKs / MCP Extensibilitydocs.jetty.io: one OpenAI-compatible API that works with any OpenAI SDK out of the box. Full
Testing, Debugging & Optimizationjetty.io: managed eval batches with rubric and programmatic validation and bounded retry loops that hill-climb to a quality bar. Full
Browser / Computer-useNo browser or computer-use capability documented. Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Not publicly listed

Contact onlyHigh variable cost

Variable cost rationale

A usage-based LLM-proxy and sandbox-execution API implies per-call and per-token cost, but no rate card was published this session.

Sales call required

Mixed (some tiers require a call)

Free / trial

Not documented

Verified 2026-07-10

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