trinetryinfotech.com

Intelligence,
Engineered.

AIMLQuantitative SystemsData InfrastructureProduct Engineering

Institutional-scale crypto data infrastructure on a startup budget — 12 products shipped, 17 chains integrated, 3-person core.

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Products Shipped

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ML Models Deployed

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Knowledge Modules

17 blockchains — institutional data at infrastructure cost 12 products shipped on a fraction of enterprise budget 45+ knowledge modules, 80+ visualizations, one platform 10+ ML models deployed — from TimesFM to GPT-4o DPIIT-recognised. 3-person core. Globally deployed. Intelligence, Engineered. — we ship.
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What We Build

AI/ML Model Development

End-to-end model design, training, and deployment. Deployed models include TimesFM deviation-score signals, multi-factor CryptoScore (OnChain/Value/Momentum), sentiment engines, and regime detection — all in production with real evaluation pipelines.

Quantitative Trading Systems

Algorithmic strategies, backtesting infrastructure, and real-time data pipelines spanning 17 blockchains, 1,000+ coins, and 130+ technical indicators — all running at a fraction of institutional data costs.

Data Engineering & Analytics

Scalable pipelines from BigQuery to Postgres to Redis, automated ETL orchestration across 67 GitHub Actions, health monitoring with auto-issue filing, and 2,800+ combined nodes of production graph-analysed infrastructure.

Product Engineering & Advisory

Full-stack product delivery across React 19, Next.js, FastAPI, Firebase, and AWS. PWA, gamification, real-time dashboards — proven across 12 shipped products, each with live users and CI/CD.

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Featured Projects

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Gyanmarg — ज्ञानमार्ग

Gyanmarg

Transform ancient wisdom into modern mastery.

Converting dense Vedic and Indian knowledge into a game loop that doesn't feel like school — 80+ interactive visualisations built from scratch, each explaining a philosophical concept without a single wall of text.

Gamified learning platform with spaced repetition, active recall, and 60+ lesson subjects spanning Vedic wisdom to modern science — each with 10 levels of mastery. Features 80+ interactive visualizations, flashcard decks, mini-games, and AI-generated reels for on-the-go revision. Built as a PWA with levelling, XP tracking, and progress analytics.

  • 60+ Subjects
  • 80+ Visualizations
  • Spaced Repetition
  • XP & Levels

React 19 · TypeScript · Vite · Firebase Hosting · CloudFront

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Pratyaksha — प्रत्यक्ष

Pratyaksha

See your mind. Clearly.

Getting a 4-agent LLM pipeline to consistently output structured emotion maps without hallucination — each agent cross-validates the others, and the final layer rejects anything that doesn't match the user's actual journal text.

Cognitive journaling dashboard powered by a 4-agent AI pipeline. Maps emotions, detects recurring themes, and surfaces actionable insights from daily journal entries. Currently being migrated from Cloud Run to Lightsail.

  • AI Insights
  • Emotion Mapping
  • Theme Detection
  • Airtable Sync

React · GPT-4o · AWS Lightsail

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CryptoPrism — On-Chain Quantitative Intelligence

CryptoPrism

See the market through every angle.

The trick: an intelligent caching layer that respects rate limits across 17 RPC endpoints while keeping all 1,000+ coins fresh within each 5-minute window — without it, the infrastructure cost would be 50x higher.

A crypto-native analytics platform that ingests 17 blockchains via BigQuery public datasets, processes 1,000+ coins daily with 130+ technical indicators, and generates ML-powered signals through an ensemble of scoring models. The proprietary CryptoScore formula weights OnChain (40%), Value (30%), and Momentum (30%) factors. Includes Saarthi, an AI companion for natural-language market queries, and a real-time sentiment engine fed by hourly news pipelines. The entire system runs on GCP + AWS infrastructure at under $100/mo — where comparable institutional data providers charge $15,000–30,000/mo.

  • 17 Chains
  • 1,000+ Coins
  • 130+ TA Indicators
  • CryptoScore
  • Saarthi AI
  • Sentiment Engine

FastAPI · BigQuery · PostgreSQL · Redis · Next.js · Claude · Binance

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About

DPIIT-recognised AI startup building at the intersection of artificial intelligence, quantitative research, and software engineering. Our flagship CryptoPrism platform delivers on-chain analytics on 17 blockchains — the kind of data that costs institutions $15K–30K/mo, running on under $100/mo of infrastructure. Three-person core team, capital-efficient, production-grade. We ship.

Let's Build

Building a crypto data product? Need a fractional engineering lead or technical advisor?

Typically responds within 24 hours.

Engagement Models

Journey

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Notes

All Notes →

Infrastructure

17 Blockchains on $100/mo

The cost trick isn't magic — it's a caching layer that respects rate limits across endpoints while keeping all coins fresh inside a 5-minute window.

Read Note →

Methodology

Why CryptoScore is 40/30/30

OnChain leads because it's the hardest to fake. Momentum gets the smallest slice because it's the noisiest signal.

Read Note →

AI

A 4-Agent Pipeline That Stays Honest

The fourth agent is the skeptic — it cross-checks the others against raw text and rejects anything it can't find evidence for.

Read Note →