Offer C · Agentic Applications

Agents that do real work,
inside guardrails you can check.

We design and build agent runtimes for enterprises and ISVs: deterministic execution, tools the model cannot exceed, tracing end to end, and GDPR and EU AI Act requirements designed in. We run our own real-time voice agent runtime on the same principles.

Book a Working Session → See Our Runtime
<200msReal-time path
in our voice runtime
42sMedian root cause
by agents in a Tier-1 NOC
€0.06Per call-minute
in our voice runtime
83%Audio-cache
hit rate
What We Deliver

Four parts of an agent
you can put in production.

Runtime Design

Agent Runtime and Guardrails

The model proposes. The runtime decides what runs.

<200ms real-time path in our own runtime
  • Deterministic execution: intent, then tool chain, then confirmation, then action
  • One tool abstraction, so the model cannot call tools it has not been given
  • Sync and async jobs, with session memory chosen for relevance at lower token cost
  • Failure containment designed before the happy path
Our runtime → LangGraph · MCP · A2A
Models

Model Routing and Evaluation

The right model per task. Measured, not assumed.

4 model families evaluated and routed
  • Evaluation and routing across GPT, Claude, Gemini and open-weight models, for reliability and cost
  • A LiteLLM gateway with prompt caching
  • vLLM and Triton serving when inference must stay in your tenancy
  • Embedding models evaluated, so retrieval is something engineers actually use
Sizing note → LiteLLM · vLLM · Triton
Operations

Observability and MLOps

If you cannot trace it, you cannot ship it.

End to end tracing with OpenTelemetry
  • OpenTelemetry on every step, with Langfuse or Phoenix for agent traces
  • Latency objectives on time to first byte and between chunks
  • Drift detection, and dev to staging to production promotion with reproducible artifacts
  • MLflow for model versioning
Guardrails note → OpenTelemetry · Langfuse · MLflow
Compliance

GDPR and EU AI Act by Design

Compliance as architecture, not a checkbox.

Art. 50 EU AI Act disclosure designed in
  • GDPR session boundaries and data minimisation in the runtime
  • EU AI Act Article 50 disclosure built into the conversation flow
  • Residency and sovereignty treated as separate requirements, each traced to a design decision
  • An audit record for every action an agent takes
How we architect → OAuth2 · Entra ID · OpenTelemetry

Our own runtime is the proof.

Atsky Voice is a real-time agent runtime: telephony with EU region pinning, streaming speech in and out with barge-in, and speech decoupled from the reasoning loop so callers never wait on the agent. A sub-200 ms real-time path and about €0.06 per call-minute with an 83% audio-cache hit rate. Every guardrail above runs in it today.

See the Runtime → Multi-Agent Architecture
First Engagement

A review in weeks,
or one agent built.

Option 1

Architecture Review

Before any build, the design you can defend.

3 to 4 weeks
  • Runtime design: how the agent executes, which tools it may call, how actions are confirmed
  • The evaluation harness, the tracing and the model routing, designed first
  • Residency, GDPR and EU AI Act requirements mapped line by line
  • A go or no-go for the build, with its run cost
Start with a working session →
Option 2

Build One Agent

One bounded agent, in your tenancy, with the evidence.

6 to 8 weeks
  • One agent with a clear boundary, built with the runtime guardrails above
  • An evaluation harness and tracing from day one
  • Deployed inside your tenancy with your identity provider at the gateway
  • Your team enabled to run it afterwards
How we work →
Deep Dives
Agentic voice AI → AIOps and network intelligence → Generative AI for enterprise → Predictive AI → Agentic AI blueprints →

See a runtime that works
before you build one.

A 45-minute working session: we walk through our agent runtime and the guardrails, and take your questions. No slides and no proposal.

Book a Working Session → Read the Notes