One platform. Four intelligence layers.
Market data, world events, research and execution live in different tools. The picture never resolves.
The trader becomes the integration layer.
Signals arrive without provenance, assumptions or risk logic. You cannot audit what you cannot see.
Trust becomes a matter of faith.
Research takes too long to become an executable decision. By the time it is clear, the market has moved.
Opportunity decays before it is acted on.
Institutions buy intelligence with headcount. Everyone else buys guesswork. ATLIQ is built to close that gap.
Context improves reasoning. Reasoning improves decisions. Decisions improve execution. One system, not four products.
AGI direction
Reasons, learns and solves across different problem types.
Business intelligence
Collects information, analyses data and makes predictions.
Global intelligence
Monitors worldwide events, people, companies and news.
Autonomous AI
Researches, decides and executes tasks independently.
AGI describes the long-term architecture. ATLIQ does not claim achieved artificial general intelligence.
The founding team combines live market operation with quantitative research and production software.
Every model is documented. Every signal is attributable. If we cannot explain it, we do not ship it.
Founder-led. Practitioner-built. The hiring plan is funded by this round. Biographies and references available under NDA.
Live market intuition, execution discipline and a clear view of what a desk will actually use.
Statistical research, risk logic and the discipline to separate a real edge from a backtest artefact.
Models, optimisation and signal theory applied to noisy, adversarial markets.
Low-latency systems, data engineering and AI infrastructure built for production, not demos.
Recurring revenue first. No one-off signal sales. Pricing is finalised in beta; the model is built to expand with usage.
Recurring seats for traders and analysts; monthly and annual plans.
RecurringUsage-based access for developers, funds and platforms that want the intelligence inside their own tools.
UsageAnnual platform licence for hedge funds, prop groups and brokers.
ContractedDeployment, integration and bespoke models for larger desks.
Mandate~20,000
traders in the owned community
Founder-reported. A verification pack — channels, engagement and cohort data — sits in the data room.
Status as of November 2026. No revenue contracts are claimed.
Licensed market, news and alternative data, normalised at ingestion.
Models, retrieval, evaluation and risk logic on one research spine.
Signals, context and portfolio-aware reasoning, with an audit trail.
Deterministic feed handling at the FPGA edge, close to the venue.
Infrastructure basis
3× AMD Alveo UL3524
FPGA cards for the execution edge.
Reseller range US$119,873.99–US$135,957.99 per card, before tax and shipping. Source: CDW and DatorPro listings, November 2026. Hardware accelerates data handling; it does not guarantee trading outcomes.
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Validation