Production-grade agents for real enterprise work
These are not generic chat tools. They are production-grade agents embedded in software engineering, knowledge work, and professional roles, connected to enterprise data, knowledge, systems, and workflows, and designed to operate continuously within the enterprise boundary.
Three product platforms. One enterprise intelligence foundation.
All three products run on one enterprise intelligence foundation, sharing unified identity, governance, and enterprise memory; knowledge and skills accumulated in any product are reusable by the others. Enterprises can start with a single high-value workflow and expand to more teams and roles.
FirmiorCode
Enterprise coding agents across the full software lifecycle — understanding codebases, planning complex work, implementing changes, generating tests, and reviewing results.
Learn More →FirmiorWork
A general agent platform for enterprise knowledge workers — autonomously completing research, analysis, and delivery, with outputs ready to move straight into review and handoff.
Learn More →FirmiorExpert
Expert agents and digital employees for professional roles, connecting enterprise knowledge, business systems, and standard workflows into scalable role capability.
Learn More →Enterprise Software Engineering Agent Platform
Deeply understands private codebases, architecture standards, and engineering workflows across requirements, design, implementation, testing, review, refactoring, and migration.
Beyond code generation — understands engineering intent
AI that plans, executes, validates, and learns from complex engineering work while preserving human review, permissions, and traceability.
Core Capabilities
From code completion to autonomous engineering — four capabilities that set FirmiorCode apart from generic coding assistants.
Understands code, dependencies, architecture, and history across files and modules.
Breaks high-impact requirements into reviewable plans and executes development, refactoring, migration, and upgrades.
Generates tests, covers edge cases, identifies regression risk, and improves quality against enterprise standards.
Reviews code changes for logic, security boundaries, compliance rules, and performance bottlenecks.
Five Work Modes
Five specialized agents, each with its own strengths, for different engineering scenarios.
Write & Edit
Writes and edits code directly, embedded in the daily flow.
Understand
Explains the codebase and architecture — read-only, no changes.
Diagnose & Fix
Systematically locates root causes, proposes and verifies fixes.
Coordinate
Decomposes complex tasks and coordinates multiple sub-agents.
Plan First
Full execution path first, human-confirmed, implemented step by step.
Enterprise Knowledge Work Agent Platform
Moves knowledge work from finding information and generating fragments to autonomous planning, deep research, coordinated execution, and finished delivery, while continuously accumulating outcomes, methods, and experience as enterprise intelligence.
Beyond Answers: Completing High-Value Work
Connects enterprise knowledge, documents, tools, and systems to complete complex tasks and deliver professional outcomes.
Core Value
Plans research, identifies trusted sources, synthesizes data, and produces defensible professional judgments.
Turns a brief into reports, proposals, documents, presentations, and analytical outputs.
Decomposes tasks, uses tools, coordinates agents, and manages process and outcomes coherently.
Turns quality outcomes and feedback into reusable memory, skills, and workflows.
Role Expert Agents & Enterprise Digital Employees
For professional roles across engineering, finance, legal, consulting, operations, and supply chain — turning knowledge and workflows into governable, measurable, scalable intelligence.
Turn expert methods into organizational capability
Move expertise beyond individuals and documents into agents that learn, execute consistently, and remain governed.
Value Proposition
Make expert capability an asset the enterprise owns and replicates.
Combines role knowledge, policies, cases, and data into a dedicated cognitive system.
Captures expert methods and procedures as reusable, versioned skills.
Connects to business systems through APIs and MCP to perform real work within authorization.
Governs permissions, behavior, quality, and risk — improving continuously through feedback.
Start with one high-value workflow. Build your own enterprise intelligence platform.
All three products share unified enterprise memory, governance, and model orchestration, and run on the same enterprise-owned token infrastructure — the wider the deployment and the deeper the use, the richer the accumulated enterprise intelligence, and the better every future agent understands the enterprise.