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Unify

Hire AI — Not APIs

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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.

  • Website: [Unify](https://unify.ai)
  • Docs: [Welcome](https://docs.unify.ai/basics/welcome) • [Quickstart](https://docs.unify.ai/basics/quickstart)
  • HQ and size: London, GB • ~53 employees
  • Funding note: Company site highlights an [“$8M funding” announcement](https://unify.ai)
  • What Unify Does

  • Provides a **Universal API** to call many model@provider endpoints through one interface for text, speech, and media. See the [Universal API overview](https://docs.unify.ai/universal_api/overview) and live [benchmarks](https://unify.ai/benchmarks/llama-3-70b-chat).
  • Delivers a **fully hackable LLMOps runtime** with buildable “interfaces” for logging, evals, labeling, human‑in‑the‑loop (HITL), and sweeps. Explore the [Interfaces overview](https://docs.unify.ai/interfaces/overview).
  • Offers **observability and control**: dashboards, traces, logs, guardrails, telemetry, and cost/latency tracking in a cloud console.
  • Supports **multimodal** features via API: [Text‑to‑Speech](https://docs.unify.ai/api-reference/voices/generate_speech_from_text) and [media upload](https://docs.unify.ai/api-reference/media/upload_video).
  • Deploy anywhere: managed cloud or **on‑prem with Docker** .
  • Why It Matters

  • Reduce vendor lock‑in and integration toil with a single API across providers.
  • Ship safer, more reliable agents with built‑in evals, guardrails, and HITL.
  • Optimize for speed and cost by switching providers using **data‑backed benchmarks** and live telemetry.
  • Standardize observability, cost control, and experimentation for agent teams.
  • Core Capabilities

  • Universal routing for model@provider endpoints with **provider‑agnostic** abstractions
  • Operational tooling: **logging, tracing, dashboards, telemetry, guardrails, evals, labeling, HITL, sweeps**
  • SDKs and APIs: Python (`pip install unifyai`) and HTTP
  • Multimodal APIs: **TTS and media**
  • Provider selection with **live benchmarks**
  • Endpoint discovery via **List Endpoints**
  • Who It’s For

  • Teams building **AI agents that must run reliably in production**
  • AI platform and MLE teams seeking **provider flexibility via one API**
  • Product teams needing **evals, guardrails, and monitoring** to ship safely
  • Enterprises requiring **on‑prem deployments** with full observability
  • High‑Value Use Cases

  • Orchestrate multi‑step agents and dynamically switch providers based on **latency or cost**
  • Monitor runs with **logs, traces, eval scores, and guardrails**
  • Run **systematic evals and sweeps** to tune prompts, parameters, and routing
  • Add **speech and media features** alongside LLM calls for multimodal agents
  • Implement **human‑in‑the‑loop** review for sensitive actions
  • 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:

  • [Llama‑3 70B Chat benchmarks](https://unify.ai/benchmarks/llama-3-70b-chat)
  • [Claude 3 Sonnet benchmarks](https://unify.ai/benchmarks/claude-3-sonnet)
  • [Supported endpoints: List Endpoints](https://docs.unify.ai/api-reference/supported_endpoints/list_endpoints)
  • Note: Public docs focus on model/provider and infra‑level integrations (not app integrations like Slack/Notion).

    Deployment Options and Pricing

  • Deployment: **Cloud console** or **on‑prem (Docker‑based)**
  • Pricing: **Free Personal**, **Pro at $40/seat**, and **Enterprise**
  • 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

  • “One API” reduces setup time and **avoids vendor lock‑in**
  • Dashboards and logs are **handy for tweaking and cost/latency visibility**
  • Occasional **free credits/promotions** lower first‑mile cost
  • Source: [Reddit user review](https://www.reddit.com/r/deeplearning/comments/1jr8xs4/my_honest_unify_ai_review/)

    Considerations

  • Output quality depends on the **underlying model/provider** you choose (not Unify itself).
  • Limited third‑party reviews; avoid conflating with unrelated “Unify” listings on marketplaces such as G2. Example unrelated page: [G2 listing for a different “Unify” product](https://www.g2.com/products/unify-unify/reviews).
  • Why Unify vs. Rolling Your Own

  • Faster integration across providers with a **single, stable API**
  • Lower operational risk via **centralized observability, guardrails, and HITL**
  • Better cost/performance with **data‑driven provider selection** and benchmarks
  • Flexibility to **switch providers** without refactoring application logic
  • Resources

  • Website: [Unify](https://unify.ai)
  • Docs: [Welcome](https://docs.unify.ai/basics/welcome) • [Quickstart](https://docs.unify.ai/basics/quickstart) • [Universal API](https://docs.unify.ai/universal_api/overview) • [Interfaces](https://docs.unify.ai/interfaces/overview)
  • Benchmarks: [Example page](https://unify.ai/benchmarks/llama-3-70b-chat)
  • Pricing: [Plans](https://unify.ai/pricing)
  • On‑prem: [Overview](https://docs.unify.ai/on_prem/overview)
  • Company: [LinkedIn](https://www.linkedin.com/company/letsunifyai)
  • Community sentiment: [Reddit review](https://www.reddit.com/r/deeplearning/comments/1jr8xs4/my_honest_unify_ai_review/)
  • 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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