Founded
2022
Location
London, United Kingdom
Employees
53
Funding
$5M Seed
Unify (unify.ai): AgentOps Platform for Running AI Agents in Production
Unify is an AgentOps platform that helps teams build, ship, and reliably operate AI agents at scale. With a Universal API to route across many LLM, speech, and media providers, plus built‑in logging, evals, guardrails, tracing, and telemetry, Unify serves as the operational layer for production-grade agent workflows.
What Unify Does
Why It Matters
Core Capabilities
Who It’s For
High‑Value Use Cases
Integrations and Model Providers
Unify’s Universal API works across many providers. Live benchmark filters showcase options such as AWS Bedrock, Together AI, DeepInfra, Perplexity, Replicate, Fireworks, OctoAI, Anthropic, Vertex AI, and more. Explore:
Note: Public docs focus on model/provider and infra‑level integrations (not app integrations like Slack/Notion).
Deployment Options and Pricing
Getting Started
1. Read the [Quickstart](https://docs.unify.ai/basics/quickstart) to install the Python SDK and call your first model via the Universal API.
2. Use [List Endpoints](https://docs.unify.ai/api-reference/supported_endpoints/list_endpoints) to discover model@provider options.
3. Configure **logging, evals, and guardrails** via [Interfaces](https://docs.unify.ai/interfaces/overview).
4. Compare models using **live benchmarks** and track cost/latency in the console.
5. For enterprise controls, review **on‑prem deployment** .
What Users Like
Source: [Reddit user review](https://www.reddit.com/r/deeplearning/comments/1jr8xs4/my_honest_unify_ai_review/)
Considerations
Why Unify vs. Rolling Your Own
Resources
Short description for SEO:
Unify is an AgentOps platform with a Universal API for LLM, speech, and media, plus logging, evals, guardrails, tracing, and dashboards—helping teams orchestrate, monitor, and optimize AI agents in production, in the cloud or on‑prem.
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