Building AI systems for the next era of business.

Stead Labs builds, trains, and deploys intelligent products that perform real operational work, starting with Talkstead.

Talkstead call intelligence

Talkstead call logs and transcript interface

Live system

Voice AI that answers, captures, routes, and follows up.
99.9%uptime target
<1 secAI answer time
$31k+reception payroll avoided
24/7voice, SMS, and workflow coverage

Company Thesis

Software is moving from systems of record to systems of action.

01

AI agents that do the work

Voice, chat, and workflow agents that execute tasks across calls, CRMs, calendars, and internal tools.

02

Models shaped around the domain

Retrieval, evaluation, and model-training workflows built around the operational data a business already has.

03

Products with a real operating surface

Applied AI that ships as useful software: dashboards, integrations, monitoring, automation, and human handoff.

Product 01

Talkstead turns business calls into completed workflows.

Talkstead is our first product from Stead Labs: an AI voice platform for answering calls, qualifying leads, booking appointments, triggering follow-ups, and giving teams clean operational visibility.

Visit talkstead.com
Talkstead calls interface

Capabilities

The operating layer behind applied AI products.

Voice AI systems

Phone agents, conversation flows, transcripts, summaries, routing, and follow-up workflows.

Retrieval and knowledge

RAG pipelines, embeddings, domain knowledge bases, evaluation loops, and answer quality controls.

Workflow automation

Agent tools, API integrations, CRM actions, scheduling logic, notifications, and human handoff.

Model implementation

Applied model selection, fine-tuning strategy, prompt systems, computer vision, and multimodal prototypes.

Cloud infrastructure

Production deployment, queues, serverless backends, monitoring, caching, and reliability work.

Product interfaces

Dashboards, internal tools, lead workflows, call intelligence, and productized operating systems.

How We Build

Applied AI from prototype to production.

Map the operation

We identify the repetitive business work, exception paths, integrations, and success criteria.

Engineer the system

We combine agents, APIs, data pipelines, retrieval, monitoring, and deployment infrastructure.

Ship and improve

We measure accuracy, latency, reliability, and user outcomes, then keep tightening the loop.

Team

Small team, high technical surface area.

AL

Alex Lokhanov

Founder / AI Engineering

Builds production AI systems across voice agents, RAG, cloud infrastructure, and applied model workflows.

BB

Blake Burford

Growth & Partnerships

Leads growth, partnerships, media, and go-to-market motion for Stead Labs products.

SM

Shawn Madadha

AI Systems Engineer

Builds applied AI systems across voice agents, agentic workflows, healthcare automation, and robotics.

Stead Labs

Building with operators, partners, and investors.