The Multi-Agent AI Platform for the Full Agent Lifecycle

The Multi-Agent AI Platform for the Full Agent Lifecycle

Design, deploy, govern, observe, and scale multi-agent AI systems from a single cloud-agnostic platform

Design, deploy, govern, observe, and scale multi-agent AI systems from a single cloud-agnostic platform

Trusted and partnered with

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Lifecycle

Five stages, one multi-agent AI platform

Most teams stitch the agent lifecycle together from separate tools, and lose the thread at every handoff. Phinite keeps all five stages in one place, so every agent carries its history from the canvas to production.

Most teams stitch the agent lifecycle together from separate tools, and lose the thread at every handoff. Phinite keeps all five stages in one place, so every agent carries its history from the canvas to production.

Design

Build multi-agent workflows on a visual canvas in Agent Graph Studio. Connect agents, tools, and prompts into one graph your team can read, review, and version.

Deploy

Observe

Govern

Evaluate

Design
Agent graphs, tools, prompts
Deploy
Versioned releases, rollback, environments
Observe
Traces, latency, cost per agent
Govern
Access, policy, audit trail
Evaluate
Benchmarks, scoring, regression tests

Design

Build multi-agent workflows on a visual canvas in Agent Graph Studio. Connect agents, tools, and prompts into one graph your team can read, review, and version.

Ship the same graph to dev, UAT, and production from Dev Studio. Every release is versioned, so a bad change rolls back in one step, not one incident.

Deploy

See what every agent did, why, and what it cost. Traces in Evaluation follow each step across agents and tools, with latency and spend attributed per agent.

Observe

Decide who can build, run, and change each agent in Governance. Policy is checked before an action runs, and every step lands in an audit trail your security team can read.

Govern

Score agents against real scenarios before your users meet them. Evaluation runs benchmarks and regression tests on every change, so you know a new version is better before it replaces the last one.

Evaluate

Design

Build multi-agent workflows on a visual canvas in Agent Graph Studio. Connect agents, tools, and prompts into one graph your team can read, review, and version.

Ship the same graph to dev, UAT, and production from Dev Studio. Every release is versioned, so a bad change rolls back in one step, not one incident.

Deploy

See what every agent did, why, and what it cost. Traces in Evaluation follow each step across agents and tools, with latency and spend attributed per agent.

Observe

Decide who can build, run, and change each agent in Governance. Policy is checked before an action runs, and every step lands in an audit trail your security team can read.

Govern

Score agents against real scenarios before your users meet them. Evaluation runs benchmarks and regression tests on every change, so you know a new version is better before it replaces the last one.

Evaluate

Design
Agent graphs, tools, prompts
Deploy
Versioned releases, rollback, environments
Observe
Traces, latency, cost per agent
Govern
Access, policy, audit trail
Evaluate
Benchmarks, scoring, regression tests

Features

Four modules, one connected platform

Each module handles one stage of the lifecycle. They share the same runtime, the same permissions model, and the same audit trail.

Each module handles one stage of the lifecycle. They share the same runtime, the same permissions model, and the same audit trail.

Each module handles one stage of the lifecycle. They share the same runtime, the same permissions model, and the same audit trail.

Agent Graph Studio

Design multi-agent workflows on a visual canvas:

• Conditional branching

• Parallel paths

• Human-in-the-loop checkpoints

Agent Studio
Dev Studio

Dev Studio

Build the tools, skills, and integrations your agents call.

• Reusable components

• Versioned like code

• Tested before they reach a production workflow

Evaluation

Test agents against realistic scenarios before they touch a customer.

• Replay production traffic to catch drift after they do

• Quality metrics you define, not a generic score

Illustration of evals studio

Evaluation

Test agents against realistic scenarios before they touch a customer.

• Replay production traffic to catch drift after they do

• Quality metrics you define, not a generic score

Illustration of evals studio

Governance

Set what every agent is allowed to do, and prove it later.

• Role-based access control

• Human approval gates

• Spend limits

• A complete audit trail

Illustration Governance

Integration

90+ integrations to power your AI agents

80+ integrations including Slack, Salesforce, Jira and AWS, plus your own APIs.

Enterprise

Enterprise-grade security for agents in production

One team running three agents does not need a platform. The problem starts when every department has built its own, on a different framework, with nobody able to say what it all costs.

  • One platform instead of five vendors

    Card one platform

    Orchestration, building, governance, evaluation, and cost control arrive as one system. One security review instead of five.

  • Every agent visible in one place

    See what every team is running, who owns it, and what it costs. Asking how many agents are in production should take a minute to answer, not a quarter.

  • Set policy once, apply it everywhere

    Policy Image

    Access rules, approval gates, and spend limits live at the platform level, so they cover every agent by default. No gaps for an audit to find.

  • No lock-in on cloud or model

    No Lock in Illustration

    Deploy on AWS, Azure, or GCP with your own model keys. Changing your cloud or your model later never means rebuilding the platform.

One platform instead of five vendors

Card one platform

Orchestration, building, governance, evaluation, and cost control arrive as one system. One security review instead of five.

Every agent visible in one place

See what every team is running, who owns it, and what it costs. Asking how many agents are in production should take a minute to answer, not a quarter.

Set policy once, apply it everywhere

Policy Image

Access rules, approval gates, and spend limits live at the platform level, so they cover every agent by default. No gaps for an audit to find.

No lock-in on cloud or model

No Lock in Illustration

Deploy on AWS, Azure, or GCP with your own model keys. Changing your cloud or your model later never means rebuilding the platform.

FAQs

Everything you need to know about our multi-agent AI platform

Here are some of the most common questions people ask us about our product

What is Phinite?

Who is Phinite for?

What makes Phinite different?

Does Phinite integrate with our tools?

Can I customize features based on my needs?

How can I try Phinite?

Stop rebuilding. Start orchestrating

See how Phinite fits right in.