Aletheia
Multi-agent platform for live-event coordination — discovery, scheduling, on-site logistics in real time.
A consulting practice for founders, CTOs, and platform teams building agentic, quantum, and edge systems. Strategy, architecture, engineering — eval-driven, auditable, no demos that don’t deploy.
Binary AI Labs is an AI, quantum, and robotics consulting practice that takes agentic systems from prototype into production. It works with engineering and product teams on architecture, evaluation, and deployment for multi-agent systems, quantum machine learning, and on-device inference. Engagements start with a discovery sprint and are delivered by the engineers who do the work. It was founded in 2025 and operates from Dubai, London, and New Delhi.




Services and products for agentic, quantum, edge, and voice AI.
Case studies from production deployments — Aletheia, Daxa, Brilliant Labs, Quasar Markets, and more.
Papers, open-source models, and the TurboQuant compression research with Google.
Multi-agent platform for live-event coordination — discovery, scheduling, on-site logistics in real time.
TwinGuard architecture enforcing context-aware access control on enterprise data before it reaches an LLM.
Open-source AI glasses running on-device NPU inference, paired with a cloud agent with persistent memory.
AI-powered research workbench fusing quantitative market signals with LLM-driven analysis for the buy side.
Event-driven capture loop that routes satisfied customers into structured review flows across platforms — no incentives, no fake amplification.
Binary AI Labs is an AI, quantum, and robotics consulting practice that takes agentic systems from prototype into production. It works with engineering and product teams on architecture, evaluation, and deployment for multi-agent systems, quantum machine learning, and on-device inference. It was founded in 2025 and operates from Dubai, London, and New Delhi.
Full answer →A discovery sprint is a short, fixed-scope engagement that turns an ambiguous AI problem into something you can act on: a target architecture, an evaluation plan, and a costed build path. It runs one to two weeks and ends in a written deliverable you own outright, whether or not you continue with us.
Full answer →Current and recent engagements span event technology, AI security, edge and wearable hardware, and financial research. Sector matters less than problem shape: the practice takes on systems where agents make consequential decisions under latency, governance, or hardware constraints.
Full answer →You do not prevent drift, you detect it early enough to act. Pin model versions explicitly, run a fixed canary eval set on every deploy and on a daily schedule, and alert on the change in score rather than its absolute value. Systems that drift silently are systems with no scheduled measurement.
Full answer →Engagements are priced per engagement, scoped from the discovery sprint, rather than per seat or per hour. There is no public rate card — the variance between a two-week architecture spike and a multi-quarter build is too wide for a headline number to inform anything. The sprint itself is fixed-price, so the first commitment is bounded and known.
Full answer →A discovery sprint takes 1–2 weeks and ends with an architecture spike you can build against — or hand to anyone.
Start a discovery sprintOr write directly — hello@binarylabz.com