AI-First Development Studio
— Our Process
We don't write code first. We engineer precision AI systems — end to end, from signal to launch.
Before a single line of code, we interrogate the problem. Deep discovery sessions, data landscape audits, and strategic mapping to define exactly what is being built — and why it will work.
Every system is blueprint-first. We design the complete technical architecture — data pipelines, model selection, infrastructure — before production code begins. The blueprint is the product.
Precision engineering at speed. Our team fuses AI models with robust software infrastructure to create systems that think, adapt, and perform under real-world conditions.
Launch is the beginning, not the end. We ship with CI/CD pipelines, live monitoring dashboards, and dedicated post-launch support — ensuring your system scales as your business grows.
— Case Studies
From a hundred spreadsheets to a single question.
A US-based insurance firm operating across multiple teams and time zones needed an unreasonable amount of effort to answer a simple question: who is working on what, right now? Senior managers navigated dense, manually maintained spreadsheets updated inconsistently across departments. By the time data reached leadership, it was already hours out of date.
Minus designed and deployed a conversational operations intelligence system — a custom AI chat interface where managers ask natural language questions and receive precise, real-time answers drawn directly from live operational databases. At the core: a custom SQL agent that translates plain English into accurate database calls. No dashboards to configure. No analyst to involve. Just a question and an answer.
Custom SQL Agent · Natural language processing · Real-time database integration · Role-based access control
The accounting department that fits in your pocket.
For most small businesses, accounting is a burden, not a function. Receipts pile up in inboxes, bank statements arrive in unreadable formats, invoices live in email threads. At the end of every month someone manually pieces it all together. Businesses that can afford an accountant pay for hours of work that should take minutes. The ones that can’t either fall behind or spend founder time on work that has nothing to do with growing the company.
Minus built an end-to-end AI accounting platform: bank integration via Plaid, custom OCR for unstructured documents, and a custom-trained transaction categorisation engine — the hardest and most important part. A misclassified transaction distorts every report, every tax calculation, every financial decision built on top of it. The platform delivers real-time financial analytics: spend breakdowns, cash flow trends, P&L visibility, and tax-ready summaries — all generated automatically.
Custom OCR engine · Transaction categorisation AI · Plaid integration · Real-time analytics · AES-256 encryption
Multi-agent portfolio intelligence for Indian equity markets.
Investors relied on fragmented tools to evaluate stocks and manage portfolios — creating information overload, inconsistent decision-making from emotional bias, lack of integrated risk management, and limited transparency into why decisions were made. Particularly pronounced in Indian equity markets, where investors must synthesize data from multiple local sources while adhering to market-specific trading rules.
A multi-agent AI decision system that continuously evaluates stocks across the Nifty 500 universe, synthesizing signals from technical indicators (RSI, MACD, moving averages), corporate fundamentals, discounted cash flow models, and market sentiment. Institutional-grade risk controls — position limits, sector concentration controls, automated stop-loss, circuit breakers — are embedded directly into the decision workflow. Integrated with Zerodha Kite Connect for automated trade execution.
Multi-Agent AI Engine · Quantitative analytics · Portfolio risk engine · Zerodha Kite Connect · PostgreSQL audit trail