Kolmira develops applied artificial intelligence solutions to transform complex data streams into actionable decision-support systems for data-driven professionals. The company offers ChartLense, an AI platform that accelerates technical analysis by surfacing high-probability chart patterns and quantifying market uncertainty. Additionally, RoastMyPortfolio provides advanced portfolio risk analysis to uncover hidden concentration exposures and diversification gaps using multi-model AI strategies.
Funding
Funding not disclosed
Founders
Product
Problem
Financial analysts and traders must sift through massive, high‑frequency market data and manually review thousands of chart patterns, leading to information overload and delayed decision‑making. Portfolio managers similarly struggle to identify hidden concentration risks and fee‑driven inefficiencies within complex holdings. The manual processes are time‑consuming, error‑prone, and vulnerable to cognitive bias.
Solution
Kolmira delivers applied‑AI decision‑support platforms that convert raw market and portfolio data into concise, actionable insights. ChartLense uses a hybrid serverless architecture to scan historical price data, surface high‑probability technical patterns, and assign confidence scores that quantify market uncertainty, reducing analysis time from hours to seconds. RoastMyPortfolio employs a multi‑model AI pipeline and Vision AI to extract holdings from screenshots, then evaluates concentration exposures, fee structures, and diversification gaps across multi‑asset portfolios. Both tools embed integrity verification and prompt‑injection protection to ensure trustworthy outputs, and they integrate directly into existing trading and portfolio‑management workflows via web dashboards and API endpoints.
Target Audience
The primary customers are professional traders, technical analysts, and portfolio managers at hedge funds, asset‑management firms, and proprietary trading desks who require rapid, data‑driven insights for market entry and risk oversight.
Features
- Serverless inference on Cloudflare Workers for low‑latency AI responses and cost‑efficient scaling
- Hybrid AI architecture that routes tasks to optimal large‑language models (Gemini, Grok, GPT‑4, Claude) to balance performance and expense
- Vision AI extraction of portfolio holdings from screenshots with 95 % accuracy, eliminating manual data entry
- Automated detection of chart patterns with confidence scoring to mitigate emotional bias in trading decisions
- Quantitative risk metrics that reveal hidden correlation exposures, sector concentration, and fee‑driven return erosion
- Secure output verification codes and built‑in prompt‑injection safeguards for reliable analysis results
- Web‑based dashboards and API integrations that embed insights into traders’ and portfolio managers’ existing tools