Autonomous AI agents,engineered for production
Trusted by teams at
Meet the fleet
Our AI Agents
Purpose-built agents that don't just chat — they take action, end to end, with guardrails and human oversight.
Atlas
Autonomous Research AgentAtlas crawls the open web and your internal knowledge base, synthesizes findings, and returns cited, decision-ready briefs.
- Web + internal doc retrieval
- Source-grounded citations
- Multi-step synthesis
- Scheduled research runs
Ledger
Finance & Ops AgentLedger reconciles invoices, flags anomalies, and drives period close — with a full audit trail and human sign-off.
- Invoice reconciliation
- Anomaly detection
- Automated period close
- Audit-ready trails
Forge
Autonomous Coding AgentForge triages issues, writes tests, and ships reviewed pull requests directly into your repositories.
- Issue triage & scoping
- Test generation
- Reviewed pull requests
- CI-aware fixes
Concierge
Voice & Support AgentConcierge resolves customer requests across chat and voice, using live tool calls to act — not just answer.
- Chat & voice channels
- Tool-using resolutions
- Seamless human handoff
- CRM-aware context
Scout
Data & Analytics AgentScout turns plain-language questions into governed SQL, live dashboards, and proactive alerts.
- Natural-language to SQL
- Governed data access
- Auto-built dashboards
- Proactive alerting
Warden
Security & Compliance AgentWarden monitors, red-teams, and enforces policy around the clock, escalating only what needs a human.
- 24/7 threat monitoring
- Continuous red-teaming
- Policy enforcement
- Guided escalation
The platform
Everything it takes to run agents in production
From custom agent development to evals, guardrails, and observability — we build the whole stack.
Custom Agent Development
Task-specific autonomous agents designed around your workflows, data, and success metrics.
- Goal-driven design
- Tool & API integration
- Human-in-the-loop controls
Multi-Agent Orchestration
Planner and worker agents coordinated as graphs, so complex work is decomposed and executed reliably.
- Planner / worker graphs
- Shared memory & state
- Deterministic hand-offs
RAG & Knowledge Agents
Retrieval over your documents and databases with vector search, so answers stay grounded and current.
- Vector & hybrid search
- Grounded citations
- Continuous sync
Agentic Workflow Automation
Agents that use tools across your SaaS stack to complete real end-to-end business processes.
- Cross-app tool use
- Event & schedule triggers
- Approval gates
LLMOps, Evals & Observability
We test, monitor, and continuously improve agents in production with rigorous evals and tracing.
- Automated eval suites
- Full-trace observability
- Regression guards
Guardrails & AI Security
Policy enforcement, red-teaming, and safe tool use keep autonomous agents inside the lines.
- Policy & PII controls
- Red-team testing
- Safe tool sandboxing
Model Fine-Tuning & Distillation
Domain-tuned and distilled models that cut cost and latency while lifting accuracy on your tasks.
- Domain fine-tuning
- Distillation for speed
- Eval-backed selection
Enterprise Integration
Secure connectors into your existing systems, built to enterprise standards.
- SSO & RBAC
- On-prem & VPC deploys
- Legacy system connectors
How our agents work
Agents ingest context from your data, tools, and live signals.
They decompose the goal into a sequence of verifiable steps.
They call tools and APIs to actually get the work done.
Outputs are checked against evals and guardrails before shipping.
Every run feeds observability that makes the next one better.
Our AI stack
Agents at work
Deployments in the wild
Real teams, real workflows, real outcomes — powered by IntellyCode agents.
iRobot
Challenge — Fleet telemetry alerts were overwhelming on-call engineers and burying real incidents.
Scout triages telemetry while Warden watches for policy and security anomalies across the fleet.
Porsche
Challenge — Internal engineering tools shipped slowly, bottlenecked on a small plugin team.
Forge was embedded into the engineering toolchain, opening reviewed PRs and writing tests autonomously.
Harrison Publishing House
Challenge — Editorial research was manual and reader support could not keep pace with demand.
Atlas powers editorial research with cited briefs while Concierge resolves reader inquiries across channels.
Advantage Solutions
Challenge — Retail-ops reconciliation spanned thousands of invoices across disconnected systems.
Ledger reconciles invoices end-to-end and flags only the exceptions that need a human.
The humans behind the agents
Meet the team
AI architects, agent engineers, and researchers turning autonomous systems into production reality.
Baki Gervalla
Chief AI Architect
Leads IntellyCode's agent architecture, setting the technical vision for production-grade autonomous AI.
Bashkim Gllogovci
CTO, Agent Infrastructure
Owns the platform agents run on — orchestration, scaling, and reliability across AWS, Azure, and GCP.
Liridona Daku
Lead Agent Engineer
Designs tool-using agents and the backend services that let them act safely on real systems.
Muhamet Humolli
Agent Experience Lead
Builds the human-in-the-loop interfaces where people supervise, steer, and trust autonomous agents.
Valbona
Agent Evaluation Lead
Designs the eval suites and red-team tests that decide when an agent is safe to ship.
Denarti
Agent Systems Lead
15+ years leading engineering teams, now orchestrating multi-agent systems and their APIs.
Urani
Retrieval & Data Lead
Builds the retrieval layer — vector search and governed data access that keeps agents grounded.
What our clients say
“IntellyCode's Scout and Warden agents cut through our fleet telemetry noise and surface real incidents in minutes. Autonomous, auditable, and genuinely reliable in production.”
“Forge now opens reviewed pull requests inside our engineering toolchain every day. It has become the fastest engineer on the team — and the evals keep it honest.”
“Atlas handles editorial research with proper citations while Concierge resolves most reader inquiries on its own. IntellyCode shipped agents we actually trust with customers.”
Deploy your first agent
Tell us about the workflow you want to automate. We'll scope an agent and show you what production-grade autonomy looks like.
Why teams choose IntellyCode
Agents in production
Running real work for real teams, today.
Task success rate
Backed by rigorous evals and observability.
Autonomous operation
With guardrails and human-in-the-loop control.