Intelligence Platform

Field: Enterprise AI
operating system.

Field is where AI agents, data, and decisions operate within governed context. Deploy sophisticated AI agents with confidence-provider-agnostic, governance-first, enterprise-ready.

The enterprise AI paradox.

Power vs. Simplicity

Hyperscaler platforms require armies of engineers. Dev frameworks lack governance. You shouldn't have to choose.

Flexibility vs. Governance

Open-source tools offer flexibility but no compliance controls. Enterprise platforms offer controls but no flexibility.

Speed vs. Control

More automation means less oversight. Until now. Field gives you both-adaptive autonomy with full audit trails.

Field resolves these trade-offs. One platform-no compromises.

Interoperability

Open by design.
No lock-in. Ever.

Model Gateway

Unified access to every major LLM. Switch providers, route by cost or capability, and fail over automatically-without changing agent code.

MCP Gateway

Connect agents to external tools, databases, and APIs via the Model Context Protocol. Standard interface, growing ecosystem, zero custom glue code.

A2A Protocol

Agents discover and communicate with other agents across platforms via Google's Agent-to-Agent protocol. Multi-vendor agent ecosystems, one standard.

OpenAI
GPT-4, o1, o3
Anthropic
Claude 4 family
Google
Gemini 2
AWS / Azure
Bedrock, AI Studio

Core Modules

Six pillars.
Everything you need.

Field Core

Agent runtime with durable execution. Sub-second invocation, stateful workflows, 99.9% reliability.

Field Flow

Visual workflow builder. Sequential, parallel, conditional paths-with human-in-the-loop decision points.

Field Guard

Governance and policy enforcement. Audit trails, RBAC, compliance templates for GDPR, SOX, and HIPAA.

Field Sense

Full observability. Distributed tracing, execution replay, cost analytics, and custom dashboards.

Field Memory

Context-aware agent memory. Persistent conversation history, cross-session learning, and semantic recall-so agents build understanding over time, not just retrieve documents.

Field Learn

Continuous improvement. Decision quality scoring, drift detection, and optimization recommendations.

Progressive Complexity

Start simple.
Go as deep as you need.

1

Configure

Pick from agent templates. Configure with no code. Your first agent runs in under an hour.

2

Build visually

Design workflows with drag-and-drop. Add branching logic, parallel execution, and human-in-the-loop decision points.

3

Go deep

Full Python and TypeScript SDK for custom agents, integrations, and advanced orchestration. Same platform, no migration.

Use Cases

Real problems.
Measurable results.

80-90%

Document Intelligence

Process contracts, invoices, and forms automatically. Extract data, score risk, route for approval. Time reduction measured in hours, not percentages.

50-70%

Process Automation

Approval workflows, exception handling, multi-step business processes. Auto-processed with human oversight where it matters.

RAG

Knowledge Assistant

Enterprise Q&A across all your systems. Semantic search with source attribution. Your team finds answers in seconds, not hours.

30-50%

Customer Intelligence

Smart support with ticket deflection, sentiment routing, and priority scoring. Your team focuses on the conversations that matter.

99.9%
SLA uptime
<1 hr
Time to first agent
<90 days
Time to ROI
10+
LLM providers supported

Ready to bring AI agents to your enterprise?

Field is in early access. Tell us what you're building and we'll get you started.

Request early access