AI product experiments
Turn a promising idea into a working product. We help teams test useful AI workflows, learn quickly, and build a path from prototype to dependable software.
↗TCP Labs—The Clarity Project—helps turn complex challenges into clear product direction and useful software, with thoughtful engineering, scalable systems, and applied AI.
Find your next step ↗We start by making the real challenge easier to see: the people, constraints, and opportunity behind it. Then product thinking and hands-on engineering turn that clarity into software that earns its place in the business.
Focused collaboration from early discovery through delivery and beyond.
Turn a promising idea into a working product. We help teams test useful AI workflows, learn quickly, and build a path from prototype to dependable software.
↗Design and build the applications, APIs, and platform foundations your product needs to serve customers and grow with confidence.
↗Make delivery more reliable with clearer architecture, practical automation, and engineering workflows that reduce friction for your team.
↗Extend an existing business workflow with inventory visibility, stock movement tracking, and operational controls that fit the way your team already works.
↗A selection of in-house product work and client engagements across systems, operations, and applied software.
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Visit DayZero Website ↗See what supports an online claim. Parakh brings relevant evidence and sources together so you can assess it for yourself.
Check text, links, social posts, screenshots, and videos with Parakh Pro. Parakh identifies key claims, finds relevant published sources, and lays out the available evidence—including where it may be incomplete or uncertain—so you can review the sources and decide what to make of it.
Visit Parakh Website ↗A tailored system initiative to improve stock visibility and day-to-day inventory operations.
The system is currently being piloted with operational users to refine workflows for tracking stock, movement, and reconciliation. Following the pilot, the product is planned for a commercial launch on a subscription basis. Client identity and implementation details remain confidential.
Client details withheld by agreementTechnology advisory and product engineering for property operations, hospitality workflows, and booking journeys.
Work included reviewing operating needs, shaping system and integration direction, and supporting the design of connected booking and property workflows. Client identities and implementation specifics are confidential and are not shared publicly.
Client details withheld by agreementExploration of software workflows to reduce administrative friction and help healthcare teams use their time more effectively.
The engagement centered on understanding user and operational constraints, clarifying product opportunities, and translating them into a practical software direction. Client identity, sensitive workflows, and solution details are confidential.
Client details withheld by agreementClient work is described at a high level to respect confidentiality obligations.
Lajeet Adhikary is an engineering leader and product builder with experience across mobile products, distributed systems, and AI-enabled engineering. He has led teams, shipped products from zero to one, and helped organizations improve how they build and operate software.
Tell us what you’re working through. We’ll start with a useful conversation.
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