We build AI products end-to-end -
for ourselves and our clients.
The three below are ours. They run in production right now. They are the proof of what the team can do.
AI legal research for Indian courts. 6M+ High Court judgments indexed and searchable in plain English. Semantic search, automatic summaries, citation graphs, predictive analysis - for solo practitioners and small firms.
Why it exists: Indian lawyers still rely on keyword-heavy research tools that are slow and expensive. LegalPro surfaces the same corpus with semantic understanding and practical context.
Semantic search
Ask in plain English. The engine understands intent and finds related cases beyond exact keywords.
AI summaries
Judgments are summarized into facts, reasoning, and outcomes so lawyers can evaluate faster.
Citation graphs
Track which cases support or challenge a judgment through connected citation trails.
Predictive analysis
Understand ruling patterns over time with structured historical signals.
6M+ judgments
Large High Court corpus indexed with robust parsing across inconsistent source formats.
Built for India
Tuned for Indian legal structure and language patterns rather than generic legal assumptions.
Conversational analytics. Connect your database, ask questions in plain English from WhatsApp, Slack, or the web - and get charts, metrics, and PDF reports back in seconds.
Why it exists: every company has a data request queue that slows decision cycles. Dataviz removes routine reporting bottlenecks so analysts can focus on deeper work.
Ask in plain English
No SQL required for routine reporting and exploratory questions.
WhatsApp, Slack, Web
Works where teams already communicate and collaborate.
Charts and metrics
Visual output is generated automatically for quick interpretation.
PDF reports
Board-ready documents are generated from the same conversational thread.
Any database
Connects to common analytical and transactional data stores.
Data ownership
Supports controlled deployment patterns with strong governance boundaries.
Skryb is an AI workspace for teams working across unstructured documents and meeting notes. Ask questions in plain language and get answers grounded in your own records.
Why it exists: critical answers are often buried across files, notes, and scattered systems. Skryb brings retrieval, reasoning, and governance together so teams can act faster with confidence.
Understands unstructured docs
Reasons across PDFs, notes, and long-form text as one connected knowledge layer.
Source-backed answers
Responses include traceable evidence links so teams can verify quickly.
Role-based controls
Multi-tenant boundaries and permission-aware responses support secure collaboration.
Audit-ready workflow
Question history and evidence trails make reviews and compliance checks easier.
Faster execution
Reduces time spent searching across systems and accelerates team decision loops.
Trusted AI layer
Combines speed, reliability, and governance in a single workspace.
Not side projects.
These products are not weekend experiments. They are how we prove what we can build. All three went from concept to production with the same small team and now run on real infrastructure.
If you can explain a problem clearly, we can probably build it. If we cannot, we will say so on the first call and recommend someone we trust.
Ready to see it live?
Book a 30-minute call. One of us will walk you through the product on your data. Free, no commitment.