We have been in the
industry long enough
to know what works.
AIIQLabs is a team of practitioners with 15–20 years of experience across enterprise technology, financial systems, and infrastructure engineering. We have designed, built, broken, and fixed complex systems across some of the most demanding domains in software. That depth is what we bring to AI.
Experience changes how you build.
We have seen production fail
Not in staging, not in a demo. In production, at scale, under pressure. That experience shapes every decision we make — from architecture to alerting to how we hand systems over to your team.
We know what actually ships
After 15–20 years of building software, we have a clear sense of what works in theory versus what holds up when real users, real data, and real deadlines arrive simultaneously.
AI is a tool, not a magic trick
We apply AI where it adds genuine value — not because it is fashionable. Our background in finance and monitoring means we are rigorous about accuracy, auditability, and what happens when a model is wrong.
Finance & Capital Markets
We have worked at the intersection of technology and financial markets for over a decade — building systems that operate at the speed and precision that finance demands.
End-to-end systems that ingest market data, identify macro and micro patterns, and surface actionable signals — replacing manual chart reading with reliable, repeatable automation.
Statistical and ML-driven models for price action analysis. From candlestick pattern recognition to momentum indicators and predictive scoring across timeframes.
Pipelines that correlate macroeconomic indicators — interest rates, inflation data, GDP releases — with asset-level behaviour, giving a full-picture view of market drivers.
Real-time systems that parse news feeds, earnings announcements, and economic events, assess sentiment and relevance, and trigger downstream workflows before the market moves.
Automated interpretation of technical indicators (RSI, MACD, Bollinger Bands, volume profiles) alongside fundamental data — P/E, EPS, debt ratios — in a unified analysis layer.
Observability & Monitoring
We have designed and delivered monitoring solutions from the ground up — across enterprise-scale Splunk deployments, proprietary APM stacks, and fully open-source toolchains.
Deep expertise in Splunk — from data onboarding and index design to complex SPL searches, dashboards, alerts, and Splunk Observability Cloud (formerly SignalFx) for infrastructure and APM.
Infrastructure through to application layer — host metrics, container health, service dependencies, database performance, and API latency all visible in a single coherent picture.
Open-source monitoring at scale. Prometheus for metrics collection and alerting rules, Grafana for dashboards that engineering and business teams actually use.
We design dashboards for real operational use — not checkbox compliance. Clear signal hierarchy, drill-down capability, and stakeholder-appropriate views from executive to on-call engineer.
Where proprietary tools are not the right fit, we architect and deliver monitoring stacks using OSS — Prometheus, Grafana, Loki, Tempo, OpenTelemetry — with enterprise reliability.
Let us put this experience to work for you.
Whether you need AI built into an existing system, a monitoring stack designed from scratch, or strategic guidance on where technology can move the needle — we have done it before.