Pioneering
AI
Futures —
Quantum · Agent · Edge.
Strategy, architecture, and engineering for teams shipping real AI. We partner with founders, CTOs, and platform teams to build systems that don't hallucinate, drift, or break under scale.
Deploy in 60 seconds · No infra required
97×
Faster QML Training
68%
RAG Hallucinations Reduced
0.01%
PINNs Data Sufficiency
<90ms
Agent Response Latency
From whiteboard to production.
How we engage. A four-stage model that compresses the AI consulting lifecycle into measurable outcomes — auditable, eval-driven, and built to operate.
Audit the data, the use case, the constraints. Map success metrics that survive contact with production.
Typical Deliverables
- Use-case brief
- Data audit
- Architecture spike
- Risk register
Team Composition
- Lead Architect
- Domain SME
Typical Duration
1–2 weeks
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 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 moreExa-scale data, engineered for AI.
We architect petabyte-to-exabyte lakehouses that turn raw operational chaos into ML-ready signal. Streaming ingestion, medallion governance, clinical-grade access tiers — built for the AI workloads that come next.
Raw Ingest
Immutable landing zone. Every event, every record — captured as-is for replay and audit.
Standardized & Joined
Cleaned, conformed, deduplicated. ICD-10, FHIR, schema-validated and joined across systems.
Curated for AI & BI
Feature-engineered, governed, access-tiered. The substrate underneath every model and dashboard.
Production Deployments
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
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
Real-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
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
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