Production AI Asset Studio
Built to Deploy. Built to Buy. Built by VyapAI.
VyapAI curates and ships production-ready AI systems for legal intelligence, oncology workflows, due diligence analysis, and enterprise orchestration.
Project Portfolio
Acquisition-ready AI Products
Each card includes verified strengths and stack details from the project documentation, plus inline expansion for technical depth.
Every asset is built and tested on standard workstation hardware for practical day-one use, and each transfer includes deployment assets for enterprise rollout: Docker or container-ready setup, architecture docs, environment templates, and integration handover guidance.
EnginAIr
Enterprise OrchestrationHigh-throughput AI-driven automation and orchestration engine for complex multi-agent workflows.
Coordinates planning, execution, retries, fallback logic, and telemetry in one persistent runtime.
Acquisition: Contact to buy
Negotiable for fast close. Includes enterprise integration handover pack.
Key strengths
- Consolidated execution path reduces orchestration overhead and cross-service latency.
- Persistent run state survives failures and supports recover or continue workflows.
- Provider-aware retry, backoff, and fallback handling improves resilience under API turbulence.
- Live dashboard telemetry keeps operations human-observable in real time.
- Validated on normal developer hardware and includes Dockerized deployment path for enterprise integration.
Tech stack tags
AmicusAI US
Legal IntelligenceAir-gapped legal AI engine tailored for U.S. Federal Appellate litigation.
Designed for citation-grounded legal memos using local RAG without public API exposure.
Acquisition: Contact to buy
Negotiable for fast close. Includes enterprise integration handover pack.
Key strengths
- Zero data leakage architecture via local embeddings and local LLM inference.
- Hybrid scraping plus federal API connectors creates a defensible legal data moat.
- USFederalReranker boosts precedence-aware retrieval quality across court tiers.
- Strict prompt policy constrains generation to verified, in-context legal evidence.
- Runs on a single high-end machine today and ships with migration paths to PostgreSQL plus pgvector and dedicated GPU inference nodes.
Tech stack tags
Ortho-Match
Clinical AIAI Clinical Trial Matcher for Orthopedic Oncology.
Hybrid eligibility filtering and semantic ranking produce explainable trial matches in seconds.
Acquisition: Contact to buy
Negotiable for fast close. Includes enterprise integration handover pack.
Key strengths
- 100% offline design keeps patient data inside hospital-controlled infrastructure.
- Two-stage matcher combines SQL hard filters with PubMedBERT semantic ranking.
- PDF pathology extraction auto-builds structured patient profiles with schema validation.
- Recommendations are explainable with score interpretation and eligibility rationale.
- Documented deployment options cover workstation, department server, and enterprise multi-site rollouts.
Tech stack tags
VDR Analyzer Core
M&A IntelligenceThree-stage offline RAG pipeline for Virtual Data Room due diligence.
Separates ingestion, retrieval, and generation paths to maximize reliability on enterprise hardware.
Acquisition: Contact to buy
Negotiable for fast close. Includes enterprise integration handover pack.
Key strengths
- CPU-heavy ingestion and retrieval paired with GPU generation balances hardware utilization.
- Deterministic UUID5 chunk IDs make re-indexing idempotent and duplication-safe.
- Citation-focused answer formatting improves analyst trust in due-diligence workflows.
- Air-gap capable operation supports strict enterprise confidentiality requirements.
- Laptop-safe defaults are included, along with documented environment tuning for enterprise hardware expansion.
Tech stack tags
Studio
Founder
Prawin Kumar
Founder, VyapAI
Currently building and selling production AI assets. BS in Data Science and Artificial Intelligenge at IITG.
Contact
Direct acquisition inquiries welcome
Open to direct acquisition inquiries. Response usually within 24 hours.