What We Do
Our Services
We build AI-integrated products, deploy custom ML systems, and ship the apps that put intelligence in front of users. Financial markets was our first domain — but we work across any industry where AI creates a real advantage.
01
AI-Powered Products
We build products with AI at the core. Our flagship, trademind-ai, applies ML to financial markets — but the same approach works for healthcare diagnostics, supply chain optimization, customer analytics, and any domain with structured data. Here is what our market intelligence product looks like as a reference.
Live Signal Generation
trademind-ai processes tick-level price data and order flow to detect momentum shifts, breakouts, and reversals. Signals update in under 200ms from market event to dashboard.
Sentiment Scoring
NLP models process financial news, X/Reddit posts, and regulatory filings to produce per-instrument sentiment scores. We track narrative shifts across thousands of sources and flag divergences from price action.
Portfolio Optimization
Mean-variance optimization with constraints for liquidity, sector exposure, and correlation. The optimizer runs on trademind-ai's risk models and rebalances recommendations as market conditions change.
Risk Assessment
Monte Carlo simulation and tail-risk analysis across equities and digital assets. We quantify drawdown probabilities, VaR at multiple confidence levels, and correlation breakdowns under stress scenarios.
02
Custom AI Solutions
Not every problem fits an off-the-shelf model. We design, train, and deploy AI systems specific to your industry and data — whether that is prediction, classification, NLP, computer vision, or recommendation. You get the model, the pipeline, and a production API — not a black box.
Custom Model Development
We fine-tune transformers, train gradient-boosted ensembles, and build custom architectures depending on your problem. Every model ships with reproducible training code, documented evaluation metrics (precision, recall, Sharpe impact), and a REST API.
Data Pipeline Architecture
Kafka-based streaming pipelines that ingest tick data, news feeds, and alternative data sources. We handle schema evolution, exactly-once processing, and backfill tooling so your models always train and infer on clean, current data.
AI Integration Consulting
We audit your existing stack, identify where ML adds measurable value, and deliver documented APIs your engineering team can integrate in days. Typical integration: REST endpoint, webhook callbacks, and a Grafana dashboard for monitoring.
MLOps & Lifecycle Management
Automated retraining pipelines triggered by data drift or scheduled intervals. We set up model versioning, A/B deployment, performance monitoring, and alerting — so your models stay accurate as market regimes shift.
03
App Studio
We build iOS and Android apps with AI deeply integrated — not bolted on. Whether it is a fintech tool, a healthcare app, or an education platform, every app ships with intelligent features from day one. Echo is our proof of the process.
Scalable App Development
Native iOS (Swift/SwiftUI) and Android (Kotlin/Compose) apps, or cross-platform with React Native. We handle architecture, CI/CD, App Store submissions, and post-launch iteration.
Echo App
Our mobile app for investors. Echo surfaces trademind-ai signals, pattern alerts, and portfolio risk scores on iOS and Android. Built in-house — a reference for what we deliver to clients.
Crypto Intelligence
On-chain data (wallet flows, exchange reserves, gas metrics) combined with off-chain sentiment. Covers BTC, ETH, SOL, and 50+ altcoins with volatility forecasts and whale movement alerts.
AI Finance Coach
A personal finance tool that tracks your positions, analyses your trading patterns, and suggests allocation adjustments based on your risk profile and market conditions.
Market Pulse
Daily market briefings filtered by your watchlist. We summarise earnings calls, macro events, and sector moves into a 2-minute read delivered before market open.
Custom App Build
Have a product idea? We scope, design, build, and launch iOS/Android apps for clients. Typical timeline: 8-12 weeks from kickoff to App Store submission.
04
Consulting
For teams that want to integrate AI but need expertise on where to start. We do short engagements across any industry: assess your data, identify where AI adds value, and help your team get there.
AI Strategy
A 2-4 week engagement for any industry. We audit your data assets, assess where AI can improve specific business metrics, and deliver a phased implementation roadmap with estimated effort, cost, and expected ROI for each initiative.
Team Training
Hands-on workshops for your engineering team. Topics include feature engineering, model evaluation beyond accuracy, production ML architecture, AI integration patterns, and monitoring best practices — tailored to your domain.
Architecture Review
We review your ML infrastructure end-to-end: data pipelines, feature stores, model serving, and monitoring. You get a written report with specific findings, risk areas, and a prioritised list of improvements.
Tell us what you're building.
We keep initial conversations short and technical. Describe the problem, and we will tell you honestly whether we are the right team for it. No pitch decks required.