We architect production-grade autonomous agent systems and AI dev workflows.
From persistent background agent swarms and custom skill toolchains to self-hosted LLM relays and real-world ops telemetry — we turn frontier AI models into resilient, self-healing production software.
Built for production resilience. Not prototype demos.
We engineer end-to-end autonomous software architectures that eliminate repetitive manual labor, self-heal during network disruptions, and operate 24/7 without babying.
Autonomous Multi-Agent Systems
Supervisor-worker swarms with deterministic task execution and self-healing crons.
- Fault-tolerant worker orchestration with zero human intervention required for routine cycles
- Dynamic subagent dispatching with strict workspace isolation and dedicated memory banks
- Robust state machines, continuous heartbeat supervisors, and graceful error escalation
- Background task queue management & reactive event-driven wakeups
Context & Instruction Engineering
Custom tool definitions, system contracts, and high-density memory architecture.
- Custom skill bundles for Claude Code, Cursor, OpenClaw, and bespoke LLM runners
- Two-tier memory architectures (daily ephemeral telemetry + permanent compacted core)
- Strict contract validation preventing token bloat, hallucinations, and prompt drift
- Deterministic tool calling schemas optimized for sub-millisecond execution
Private AI Infrastructure & MCP Tooling
Self-hosted model relays, secure containers, and high-performance MCP pipelines.
- Model Context Protocol (MCP) server development bridging LLMs to databases & APIs
- Self-hosted OAuth proxies and relay backends prioritizing privacy and reliability
- Bare-metal VPS container deployments with persistent NVMe caching & Postgres backends
- Automated SSL, automated DNS, zero-trust secrets management, and encrypted storage
Real-World Ops & Telemetry Bridges
Connecting autonomous AI decision engines to physical assets, telemetry, and web apps.
- Real-time event analytics tracking user behavior, session velocity, and growth trends
- Integration with IoT/field telemetry systems (Foreman) for physical operational control
- Autonomous content publishing pipelines with automated SEO/GEO validation & schema checks
- Multi-channel alert dispatchers (Telegram bot DM feeds, Discord relays, scheduled executive digests)
How our autonomous pipelines operate
Every process follows a strict 5-stage deterministic lifecycle designed for 99.9%+ reliability without human bottlenecking.
Ingress & Event Triggers
Scheduled cron ticks, Telegram direct messages, webhook listeners, or sensor telemetry triggers.
Supervisor Decision Matrix
Autonomous leader agent deconstructs goals into isolated subtasks, assigns memory, and evaluates safety constraints.
Isolated Subagent Sandboxes
Specialist workers execute in dedicated workspaces using strictly scoped Model Context Protocol (MCP) tools.
Self-Healing & Quality Guard
Automated test suites and lint checks catch regressions before committing changes. Two-strike rule triggers dynamic fallback.
Atomic Delivery & Telemetry
Zero-downtime production deployment, persistent memory compaction, and scheduled executive reporting.
Integrated platforms & live field labs
We don’t just theorize about AI agents — we architect, dogfood, and maintain production ecosystems operating across web, containers, and physical field devices.
Our public technical publication and open-source intelligence hub. In-depth engineering playbooks, downloadable skills, and architecture breakdowns for builders.
Autonomous field operations and physical asset engine. Connecting spatial floorplan telemetry, dynamic procurement BOMs, and multimodal receipt OCR with automated sprint scheduling.
AI-managed server orchestration and container lifecycle automation. Features continuous healthcheck daemons, automated SSL/DNS rollouts, and self-healing container recovery.
Persistent cognitive and vector memory layer for multi-agent workflows. Cross-session entity retention, daily rolling summaries, and loss-less knowledge compaction.
Hardened, isolated multi-agent execution environments. Dedicated sandboxes for untrusted code execution, headless browser automation, and local frontier model harness testing.
Real-time tripartite IPC mesh connecting autonomous agent backends, developer CLIs, and mobile messaging interfaces with deterministic human-in-the-loop escalation.
Ready to deploy autonomous AI systems that actually work?
Whether you need a bespoke multi-agent workflow, custom MCP tool suites for your engineering team, or private self-hosted AI infrastructure — we build it turnkey.