About

A sharper company story for buyers evaluating delivery quality.

The previous homepage mixed company messaging with freelancer signals. The new About page gives TrishiAI a clearer operating profile: enterprise-focused, product-minded, and capable across both custom AI systems and Google conversational tooling.

Positioning

Product development company for AI agents and conversational systems.

The revamp removes “freelancer availability” framing and replaces it with delivery principles that matter to company and enterprise buyers.

Founder credibility

Founded by Raj Kapadia, with a separate public portfolio for deeper technical proof.

TrishiAI remains the company-facing brand. The founder portfolio exists as a secondary reference for visitors who want to review individual background, experiments, and broader public work before starting a conversation.

Visit rajkapadia.com

Why TrishiAI

Four principles now carry the trust story.

Because publishable logos and case studies are not established in the repo, the site leans on process, platform depth, and delivery stance.

Product-minded delivery

The work is framed around user journeys, operational fit, and business outcomes rather than isolated prompts or demos.

Platform fluency

Google conversational products and custom AI stacks are treated as implementation tools, not as the whole strategy.

Production readiness

Integrations, evaluation, fallback paths, and measurement are part of the build from the start.

Lean execution

Small, focused delivery cycles reduce risk while still moving quickly from concept to working system.

Process

Delivery remains visible because buyers want to know how the work gets done.

The new company story keeps the process specific enough to build confidence without turning the page into an operations manual.

Step 1

Discover

Align on use case, audience, integration constraints, and the business outcome that defines success.

Step 2

Architect

Choose the right agent pattern, platform, data sources, and control points before implementation starts.

Step 3

Build

Implement conversation design, orchestration, interfaces, integrations, and evaluation loops together.

Step 4

Launch and improve

Measure performance, identify failure modes, and iterate toward stronger containment, accuracy, and usability.

Stack and delivery scope

The supporting stack is still broad, but the story is more selective.

The site now presents the stack as proof of execution range, not as the headline itself.

PythonNode.jsTypeScriptNext.jsFastAPIExpressVector databasesLLM orchestrationNLPComputer visionEvaluation pipelinesProduct UX

Talk about your build

Start with the business workflow, not the buzzwords.

That framing is central to the new site and to how TrishiAI should continue positioning itself.

Book a discovery call