We build voice agents, operations assistants, and multi-step automation that connect to your data and tools, act within clear limits, and hand control back to people when it matters.
What we build
The model is only one component. We build the surrounding workflow, integrations, state, permissions, validation, and operating controls needed for useful work.
Selected systems
These are systems we have built, not a list of integrations copied from a model provider. Client-sensitive details remain private.
Voice AI
Built for a sales operation with realtime voice, telephony, a controlled dialog graph, approved response variants, RAG fallback, and structured lead capture. Each call keeps its own state and produces a transcript, summary, contact details, callback request, and do-not-call status for the next CRM action.
Team operations
An internal assistant that understands messages and images, searches the web when current information is needed, keeps a self-written memory across sessions, captures tasks from normal conversation, sends a daily digest, and nudges owners when work goes stale.
Agent infrastructure
Core architecture and an operator runtime for HexNest: adapters for cloud and local models, authenticated work routing, manual and autonomous agent modes, A2A discovery, MCP integration, and token usage metering.
Delivery
We start narrow, prove the valuable path against real data, and add autonomy only where the system has earned it.
We identify the decision points, systems, data, edge cases, and actions that must remain under human control.
The first version handles one valuable path against real inputs. You see what works before committing to a large rollout.
We integrate the required APIs, add deterministic rules, permissions, validation, logging, and confirmation gates.
We test real scenarios, monitor failures and cost, deploy the system, and improve it from observed behavior rather than demos.
We treat prompts, retrieved content, and model output as untrusted. Permissions and business rules stay outside the model.
FAQ
If your workflow is unusual, that is useful context — send it as it is.
Usually not. We design the agent around your current workflow and connect it through APIs, webhooks, email, telephony, or a narrow adapter.
Only where that is safe and explicitly agreed. High-impact actions can require confirmation, role checks, limits, and a complete audit trail.
Yes. We work with cloud and local models and keep the orchestration layer provider-aware, so the architecture is not tied blindly to one vendor.
We treat model output as untrusted. Sensitive decisions use deterministic validation, scoped tools, structured data, permissions, and human confirmation where needed.
Choose one repeated workflow with clear inputs, an expensive manual step, and a measurable result. We can usually turn that into a focused pilot before expanding the scope.
Tell us what comes in, what a person does today, and what a successful result looks like. We will reply with a practical pilot path within one business day.