Agents

Autonomous Agents

AI systems that don't just respond — they research, plan, execute, and iterate. Multi-agent swarms that complete real workflows end-to-end, 24/7, without human bottlenecks.

Architecture

Director-Worker Architecture

A central Director agent decomposes complex tasks and delegates to specialized workers. Each worker has focused expertise, dedicated tools, and clear accountability.

Director Agent

Central Orchestrator

Receives the high-level objective, decomposes it into sub-tasks, assigns work to specialized agents, monitors progress, resolves conflicts, and synthesizes final outputs.

Research Agent

Reads papers, synthesizes knowledge, identifies state-of-the-art approaches, and surfaces actionable insights from the literature.

Code Agent

Writes production-quality code, reviews diffs, runs tests, and iterates on implementation until all checks pass.

Planning Agent

Decomposes high-level objectives into executable strategies, creates implementation plans, and sequences dependencies.

Review Agent

Quality-checks every output, validates against constraints, runs regressions, and triggers iteration when standards aren't met.

Use Cases

What Agents Can Do

From autonomous research to enterprise orchestration — agents that operate at the speed of software, with the judgment of experts.

Auto-Research Loops

AI that reads arXiv, generates hypotheses, writes experiments, and reviews results — running 24/7. The human sets the reward metric, not the research agenda.

arXiv IngestionHypothesis GenerationExperiment Automation

Codebase Agents

Agents that understand your entire codebase, fix bugs, implement features, run tests, and submit PRs autonomously. From issue to merged code without human bottlenecks.

Bug DetectionFeature ImplementationAutonomous PRs

Data Pipeline Agents

Autonomous ETL — agents that discover data sources, build pipelines, validate quality, and adapt to schema changes. No more brittle cron jobs.

Source DiscoverySchema AdaptationQuality Validation

Multi-Agent Orchestration

Director agents managing swarms of specialized sub-agents for complex enterprise workflows. Coordination, delegation, and convergence at scale.

Swarm CoordinationTask DelegationEnterprise Scale
How It Works

From Objective to Autonomous Execution

Three steps to deploy agents that work for you around the clock.

Step 01

Define

You define the objective and constraints. What does success look like? What are the boundaries? We translate your intent into agent goals with verifiable outcomes.

Step 02

Deploy

We deploy a swarm of specialized agents — each with tools, memory, and domain knowledge. The Director decomposes your objective and orchestrates the workers.

Step 03

Iterate

Agents run continuously, executing tasks 24/7. Humans review milestones, not micro-tasks. The swarm learns, adapts, and improves with every cycle.

Deploy Your First Agent Swarm

Tell us the objective. We'll deploy the agents, prove the value in a 2-week pilot, and scale from there.