AI agents that do the work,not just the talking

We build voice agents, appointment booking agents, WhatsApp and support agents, document AI and knowledge assistants on GPT, Claude, Gemini and open-source models, with the guardrails, testing and integrations that production needs.

01Use case

Start with work worth automating.

We map calls, chats, documents and back-office tasks, then pick the use case with the clearest value.

02Data and tools

Connect your data and systems.

Knowledge bases, calendars, CRMs and records connect securely through APIs and the Model Context Protocol.

03Guardrails

Test it before customers do.

Guardrails, evaluation sets and human approval steps keep answers accurate and actions safe.

04Channels

Launch on every channel.

Voice, WhatsApp, web chat and documents, monitored for accuracy, speed and cost.

CallsChatsDocumentsTasksUse caseEvaluationKnowledge baseCRM and calendarVoice and WhatsAppMonitoringAI agentGuardrailsLive on every channel
How an AI agent goes live

How we build AI you can trust

The demo is the easy part. These practices keep an agent safe, accurate and affordable once real customers start using it.

01

Grounded answers

Retrieval with citations, so agents answer from your data instead of guessing.

02

Guardrails

Scope limits, input and output filters and prompt-injection defenses based on the OWASP Top 10 for LLM applications.

03

Human in the loop

Approval steps for sensitive actions and smooth handover to your team with the full conversation attached.

04

Evaluations before every release

Test sets built from real conversations, scored for accuracy, tone and safety on every change.

05

Observability

Traces plus cost and latency dashboards for every conversation, so nothing is a black box.

06

Model-agnostic design

GPT, Claude, Gemini or open-source models chosen per task to balance quality, speed and cost.

07

Low-latency voice

Streaming speech recognition and synthesis with interruption handling, so calls feel natural.

08

Privacy by design

Personal data redaction, encryption, role-based access and private deployment options.

Our AI toolkit

Language modelsGPT, Claude, Gemini, Llama, Mistral
Agent frameworksLangGraph, LangChain, LlamaIndex, CrewAI, Model Context Protocol
VoiceDeepgram, ElevenLabs, Whisper, Twilio, LiveKit
Knowledge and memorypgvector, Pinecone, Qdrant, Weaviate
Evaluation and monitoringLangfuse, LangSmith, Ragas, Promptfoo
Cloud AI platformsAmazon Bedrock, Azure OpenAI, Google Vertex AI

An AI proof of concept in 2 to 4 weeks

A working agent on your data, an evaluation report with accuracy and cost figures, and a plan for production. If the numbers do not work, you will know before you invest more.

Start a proof of concept

Let's find your first AI agent.

A free 30-minute discovery call, an honest read on scope and cost, and a clear next step.