Pioneering
AI
Futures —
Quantum · Agent · Edge.
Most AI systems hallucinate, drift, and break under scale. We build the ones that don't.
Deploy in 60 seconds · No infra required
97×
Faster QML Training
68%
RAG Hallucinations Reduced
0.01%
PINNs Data Sufficiency
<90ms
Agent Response Latency
Engineering the Intelligence Stack
From qubit circuits to autonomous agent swarms — purpose-built for the 2026 AI frontier.
AI Agents & RAG
Multi-agent swarms with adaptive retrieval
Deploy autonomous agent networks with hybrid semantic RAG pipelines. Reduce hallucinations 50–70% while scaling to millions of daily queries across enterprise knowledge bases.
Quantum ML & PINNs
QNNs, QSVMs & physics-informed simulation
Hybrid quantum-classical networks for high-dimensional classification. Embed physical laws (Navier-Stokes, Maxwell) into neural architectures — train in hours, not weeks, with 0.01% data.
Agentic Ecosystems
Microservices-like agent orchestration
Design agent-native architectures that coordinate cloud, security, and DevOps workflows autonomously. Self-healing, policy-aware, and observable from day one.
Drone & Robotics AI
BVLOS autonomy & LiDAR swarm intelligence
Engineer edge-AI stacks for beyond-visual-line-of-sight drone fleets. Real-time LiDAR fusion, CNN-based obstacle avoidance, and swarm coordination at sub-50ms latency.
Computer Vision
Vision Transformers for real-time detection
Implement ViT-based pipelines for anomaly detection, defect classification, and 4K scene understanding. Deploy on-device with TensorRT for sub-10ms inference.
Automated QA
End-to-end custom test plans & CI pipelines
Purpose-built QA frameworks covering unit, integration, E2E, and load testing. From audit to fully automated CI/CD pipelines — ship with confidence at every scale.
AI Distress Development
Rescue & accelerate stuck AI projects
Embedded AI engineers take over stalled builds, refactor broken ML pipelines, and deliver working systems fast. From codebase audit to production handoff — no project left behind.
VoxEdge — Real-Time Voice Agents
NewLiveKit · Cartesia · Vapi · Liquid AI stack
Production voice AI agents with sub-300ms end-to-end latency. Acoustic VAD, natural turn-taking, 50+ languages, and on-device quantised models — deployable as phone, web, or embedded endpoints.
Reinforcement Learning as a Service
2026Verifiable rewards for LLM mastery
RLVR unlocks multi-step reasoning via binary correctness signals. GRPO post-training outperforms PPO at 10× lower cost than RLHF. Model-free PPO for edge robotics & drones.
From spec to full test suite in one call.
AssureAI reads your PRD, generates the test plan, writes the code, and executes it in an isolated E2B sandbox — all via a single API call.
Live results — last run
Counters animate as your suite finishes. Auto-healed tests are re-run and patched by the AI without manual intervention.
- Generates Playwright, Jest, pytest & LLM eval tests
- Sandboxed execution via E2B — zero local setup
- AI auto-heals flaky tests in real time
- CI/CD webhook ready — GitHub Actions & GitLab
TurboQuant
Redefining AI Efficiency with Extreme Compression
A theoretically grounded two-stage quantization algorithm from Google Research that achieves near-optimal distortion rates across all bit-widths. By randomly rotating input vectors (PolarQuant) then applying a 1-bit QJL residual correction, TurboQuant reaches 3-bit zero-loss KV-cache compression with no training or fine-tuning — deployable in real-time, production-scale systems like Gemini.
6×
KV Cache Memory Reduction
8×
Faster on H100 GPU
0%
Accuracy Loss @ 3-bit
≈0
Indexing Overhead
Amir Zandieh · Majid Daliri · Majid Hadian · Vahab Mirrokni · et al. — Google Research
Numbers that speak for themselves.
Across every product — real production results from real deployments. No synthetic benchmarks.
Code Accuracy
Post-Training Cost
RAG Hallucination Rate
Simulation Time
Agent Response
Measured across live client deployments · Q1 2026 · Full methodology available on request
Simulate Quantum Agents Live
Pick a scenario. Watch the multi-agent pipeline execute and the network visualize in real-time.
Select a scenario above to launch the simulation...
Select a scenario to visualize
From side project to Fortune 500.
Ship faster. Break less.
Open APIs, free tiers, and an SDK that gets out of your way. Start building in under 5 minutes.
- ⚡
One-line SDK install
npm install @binaryos/sdk
- 🧪
AssureAI free tier
150 test credits, no credit card
- 🤗
Open model weights
HuggingFace — BinaryLLM-7B
- 🔌
REST API + MCP integration
Claude Code & Cursor compatible
- 💬
Discord community
2,400+ engineers
Deploy without compromise.
Air-gapped, compliant, and backed by a dedicated engineering pod. We integrate with your existing stack, not the other way around.
- 🏢
On-premise & air-gapped
Full data sovereignty
- 🔐
SOC 2 · HIPAA · GDPR
Compliance-ready from day one
- 👥
Dedicated engineering pod
Embedded team, weekly syncs
- 📊
SLA-backed uptime
99.9% guaranteed
- 🎯
Custom model fine-tuning
Domain-specific weights
AI that works in your world.
Purpose-built products and services for six high-stakes verticals. Not general-purpose tools — domain-tuned systems.
AI-powered doctor–patient interaction, real-time clinical notes, and HIPAA-compliant record generation.
Learn moreReal-time trading signals, sub-10ms risk scoring, and RLVR-tuned decision engines.
Learn moreBVLOS autonomous drones, LiDAR swarm intelligence, and 120Hz obstacle-avoidance loops.
Learn moreVision Transformers on the production line — catch defects at 99.1% mean average precision.
Learn moreFrom PRD to passing tests in one API call. AI auto-heals flaky suites. CI-ready.
Learn moreHybrid quantum-classical ML and physics-informed networks — compress months of simulation to hours.
Learn moreReal-Time Voice AI, Edge-Ready
Deploy conversational AI agents with sub-300ms latency, natural turn-taking, and custom personas — on-device or cloud. Built for healthcare, enterprise, and autonomous systems.
Ready-to-deploy use cases
What Our Customers Are Saying
Trusted by AI teams building at the 2026 frontier — from healthcare to autonomous systems.
"BinaryLabz transformed our clinical workflow. Their RAG-powered agents now surface the right patient history in under 200 ms — doctors trust it during rounds. DocScribe has become indispensable."
Dr. Yusuf Al-Rashid
Chief Medical Officer · PulseHealth AI
"We came to BinaryLabz with a stalled LLM fine-tuning project eight months behind schedule. Three weeks later it was live, processing two million queries a day. Their distress development team is simply unmatched."
Jennifer Kwon
CTO · Synthex Technologies
"RLVR-based training cut our LLM reasoning errors by 40% on verifiable tasks. BinaryLabz were six months ahead of the industry on this breakthrough — and they brought us along for the ride."
Arnav Mehta
Head of AI Research · Veritas Intelligence
"Our drone fleet now operates with 120 Hz sensor fusion thanks to BinaryLabz's edge AI stack. Zero collision incidents across 10,000 autonomous flight hours. That confidence is invaluable."
Marcus Torres
VP Engineering · SkyVector Logistics
"The Computer Vision pipeline BinaryLabz delivered runs at 99.1% mAP on our production line. We've prevented over $3M in defective product recalls in the first quarter alone."
Amara Osei
Head of Manufacturing AI · Precis Industrial
Production Deployments
Research-Grade Experts
Dr. Aisha Noor
Quantum ML Architect
PhD MIT Quantum Computing. Designed QNN frameworks now running on IBM Q Network infrastructure.
Marcus Chen
PINNs Specialist
Former CERN. Pioneers physics-informed nets for CFD, electromagnetics, and structural mechanics.
Zara Osei
Agentic Systems Lead
10 years in distributed systems. Architect of multi-agent orchestration serving 50M+ enterprise events/day.
Rayan Al-Farsi
Drone AI & CV Engineer
Ex-NASA JPL. Builds BVLOS autonomy stacks and Vision Transformer pipelines for edge-deployed drone swarms.
Sofia Petrov
RAG & LLM Engineer
Research background in semantic retrieval. Reduced hallucination rates 68% across Fortune 500 RAG deployments.
James Okafor
AI Infrastructure Lead
Former Google Brain. Designs GPU/QPU hybrid clusters for training and serving at billion-parameter scale.