TalentAI automates the job search for students. Kodexaa is an agentic AI platform for coding practice and placement prep at engineering colleges. We also take select client AI engagements — because shipping for others keeps us sharp.
Our products
Two products in active development. Same team, same engineering bar as our client work.
TalentAI
Students & fresh graduates
Your AI job-hunting co-pilot
Students spend hundreds of hours searching, tailoring resumes, and applying manually. TalentAI does it for you.
Kodexaa
Engineering college students & faculty
Practice. Compete. Get placement-ready — powered by agentic AI
Students prep across scattered YouTube videos, LeetCode tabs, and coaching notes with no idea where they actually stand. Kodexaa fixes that with AI.
AI Agents
We build multi-step agents that handle real business workflows end-to-end — with memory, tool use, observability, and guardrails.
Vegrade Agent
production · multi-step
Select client work
To fund our product roadmap we take select fixed-scope programs — RAG, agents, ML, and full-stack AI. Seven practice areas, each with a full capability brief.
Retrieval-augmented systems with chunking, reranking, citations, and observability for real documents.
Multi-step agents, workflow automation, and human-in-the-loop systems built for production.
Production LLM integration with guardrails, evals, routing, and provider abstraction.
End-to-end AI products: APIs, web surfaces, and model features wired for real users and measurable outcomes.
Reliable data pipelines, warehouses, and feature stores so models train and serve on trustworthy, fresh data.
Exploration, experimentation, and classical ML—forecasts, scoring, and insights with clear paths into production.
Model training, serving, monitoring, and MLOps so ML runs in production—not only in notebooks.
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Illustrative programs
Illustrative scenarios based on common engagement patterns—not named clients. Approved references are shared under NDA when there is mutual fit.
Legal technology
Deal teams drowning in M&A redlines across fragmented rooms with no unified, citation-backed search.
RAG over curated corpora with layout-aware parsing, hybrid retrieval, reranking, and human review queues for low-confidence answers.
Target outcome
Faster first-pass review
Teams target measurable cuts in review time with traceable citations—not black-box summaries.
Typical timeline: 8–12 weeks
Commercial
We don't publish a price list—programs are sized to outcomes after a short technical discovery. Below are the three engagement shapes we scope and deliver most often.
Validate architecture and ship a working slice on staging.
Full implementation hardened for real users and SLAs.
Multi-service systems, compliance, and long-term scaling paths.
Need a bespoke structure? Full pricing detail or request a quote.
Products & client work
Join a product waitlist to be first in line when we launch — or book a call to scope a client engagement. We respond within one business day.
India-based team · overlap for US, EU & APAC · NDA-friendly
