INFRARENCE↗
Your business. Your AI.
Your infrastructure.
Hardware, optimized models, and governed workflows—brought together on customer-controlled systems for sensitive work.
INDEPENDENT AI LAB / SAN FRANCISCO BAY AREA
We turn AI into useful products.
For people, businesses, and the infrastructure they own.
01 / BUILT IN THE LAB
Make intelligence useful.
Keep people in control.
Your business. Your AI.
Your infrastructure.
Hardware, optimized models, and governed workflows—brought together on customer-controlled systems for sensitive work.
Give your AI assistant a telephone.
From booking a table to checking stock, Sakhai makes the call, identifies herself as AI, and returns a written outcome. Connect through HTTP or MCP.
A companion for the whole household.
Voice-led assistance for reminders, letters, WhatsApp, and telephone calls—designed around everyday needs and different stages of life.
Many models. One familiar API.
An OpenAI-compatible model gateway for developers in India, with rupee billing and India-hosted options. Includes Thali Code, an open-source terminal coding agent.
Models customized for the work you do.
Fine-tuning, distillation, evaluation, and deployment preparation for open-weight models. Purpose-built language models under 1B parameters are scoped as focused research engagements.
Understand your website’s PHP exposure.
Bounded checks of public website signals, with evidence, uncertainty, and remediation guidance. Deeper verification follows with authorization; a passive check alone does not prove exploitability.
From an idea to a product-design journey.
Develop concepts, explore product views, and prepare manufacturing briefs and potential shop shortlists. Publish designs on the marketplace. Manufacturing suitability still needs independent verification.
02 / THE LAB
Cognio Lab is an independent AI product studio in the San Francisco Bay Area. Our work connects models, tools, and infrastructure to the things people actually need to do.
From enterprise workflows to everyday assistance, we build around a clear task—and evaluate what happens when the system meets it.
Define the problem, the people it serves, and what a useful outcome looks like.
Connect the right model with the tools, interfaces, and deployment it needs.
Evaluate quality, time, and cost. Keep proposed capabilities separate from demonstrated results.
03 / START A CONVERSATION
Product questions, partnerships, or a problem worth solving.