AGENTAKT SYSTEMS
Autonomous Infrastructure. Enterprise-Scale Agents.
We engineer fault-tolerant agentic systems to scale your operations. From orchestrating complex legacy APIs to processing massive unstructured data pipelines, we build the secure, auditable intelligence layer that automates your heaviest operational bottlenecks.
Architected for high-throughput resilience, enterprise security, and EU AI Act compliance.
99.9
Runtime target
SOC2
Audit posture
0ms
Silent failure tolerance
AGTKT / CONTROL PLANE
LIVE: 04 NODES
orchestrator.route(intent, policy, memory)
01
Backend runtime
02
Policy gates
03
Execution Layer
$ deploy --guardrails strict --audit full
✓ traces indexed ✓ permissions scoped ✓ handoff verified
LATENCY BUDGET: 180MS
AUDIT: ENABLED
The two pillars of production AI.
System orchestration. Strict governance. One accountable engineering surface.
01 / BACKEND
High-Throughput Agentic Backends.
Move beyond rigid automation. We architect scalable multi-agent systems that reason through unstructured data and execute complex decision trees across your entire tech stack, operating silently and handling immense processing loads without failing or hallucinating.
• Evals, traces, and rollback protocols
• Role-based tool access and approvals
• Multi-model routing and fallback strategy
02 / GOVERNANCE
Auditable Control Planes.
Enterprise AI requires strict governance. We build secure, compliant infrastructure with role-based tool access, adversarial robustness, and deterministic trace logs. You get absolute visibility and programmatic human-in-the-loop escalation before any agent takes action.
agentakt-control-plane / runtime.log
STRICT
[ACCESS GRANTED] Role: Orchestrator | Policy: Strict
{ agent: invoice-parser, scope: read:erp write:queue }
trace_id=agt_7f92 latency=184ms fallback=false
[ESCALATION READY] human_review_required=false
DEPLOYMENT PROTOCOL
A controlled path from model capability to production responsibility.
01
Map operational risk
We model workflows, permissions, failure modes, data boundaries, and escalation points before a single agent is allowed to act.
RISK_REGISTER.INIT
02
Prototype the control plane
We assemble the agent runtime, model routing, tool permissions, memory contracts, UI entry points, and audit trace schema in a working technical prototype.
CONTROL_PLANE.BUILD
03
Validate against adversarial workflows
We pressure-test retrieval quality, tool execution, escalation loops, prompt injection exposure, and business-critical exception paths before launch.
EVALS.REDTEAM
04
Deploy with observability and governance
We ship to production with monitoring dashboards, response playbooks, versioned policies, and an operating cadence for continuous evaluation.
PROD.OBSERVE