AI-Native CRM, Built Ground-Up
A CRM engineered from the ground up with AI native to the data model and workflows — intelligence built into the foundation.
Agents backed by industry expertsAI Native Product Engineering
AI Native Product Engineering
Silicon to screen.
QUBR Labs builds AI-native products across software and embedded computing.
AndroidiOSWebEdgeFirmware
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Senior, hands-on expertise across software, embedded, and AI.
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Proven across AI-native CRMs built from scratch, realtime WhatsApp support agents, and AI-in-the-loop embedded products.
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One team that ships true Android, iOS, and web parity — and firmware that runs on real hardware.
Built & shipped
Work we've put into production
Proven systems across software and embedded — designed, built, and shipped end to end.
WhatsApp Support Agents
Production WhatsApp agents that resolve customer queries and trigger real feature actions live, inside the chat thread.
Embedded AI, On-Device
Edge and embedded products with AI in the loop — from silicon and firmware up to the inference running on constrained hardware.
True Cross-Platform Parity
One product shipped to Android, iOS, and Web with genuine feature parity — every platform treated as first-class.
The AI-native frontier
What's under the hood
From agentic software to intelligence running on bare metal — the surface area we design and engineer across.
AI-native software
Multi-Agent Orchestration
Planner–worker agent fleets with typed tool contracts, shared memory, and deterministic handoffs — engineered as real, composable systems.
On-Product RAG
Retrieval grounded in your own data: hybrid vector + keyword search, chunk-level citations, and freshness syncs so answers track the source.
In-Product Copilots
Context-aware copilots wired to your app state and APIs, taking scoped actions through your permission model with full undo and audit trails.
Voice & Vision Interfaces
Low-latency multimodal UX: streaming speech-to-speech, on-device vision, and barge-in turn-taking for hands-free, camera-first products.
Realtime Streaming Intelligence
Inference over live event streams — token-by-token UI, sub-second anomaly scoring, and incremental state for continuously fresh results.
Eval & Guardrail Infra
Offline eval sets, LLM-as-judge scoring, CI regression gates, plus input/output guardrails and tracing for every model call in prod.
Autonomous Back-Office Workflows
Agents that run document intake, reconciliation, and ticket triage end to end — escalating edge cases to humans with a clear approval loop.
Model Routing & Tuning
Cost-and-quality routing across providers with caching and fallback, plus fine-tuning and distillation for cheaper task-specific models.
On-device & embedded AI
On-Device Inference
Run vision and audio models directly on-device, keeping inference entirely local and holding deterministic latency under tight power and thermal budgets.
TinyML on Bare MCUs
Fit real models into kilobytes of SRAM on Cortex-M and RISC-V parts, running anomaly detection and keyword spotting on coin-cell power.
NPU & Accelerator Bring-Up
Bring up NPUs, DSPs, and Ethos/Hexagon-class accelerators: kernel mapping, operator coverage, and memory tiling that fully leverages the silicon.
Multi-Sensor Fusion
Fuse IMU, radar, ToF, and camera streams with tight time sync — turning noisy raw sensors into a stable state estimate the control loop can trust.
AI-in-the-Loop Firmware
Embed inference inside the firmware control path with bounded worst-case timing, so models drive actuation while preserving real-time guarantees.
Edge Model Optimization
Quantize, distill, and prune to int8/int4 with accuracy budgets held — shrinking footprint and energy per inference for constrained targets.
OTA Model Updates
Ship signed, versioned model and weight updates over the air with staged rollout and rollback, decoupling the model lifecycle from firmware.
Privacy-Preserving On-Device AI
Keep raw sensor and user data on the device, sending only derived features so personal data stays on the silicon that captured it.
How we build
The principles behind everything we ship
The standards we hold to on every project.
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AI in the loop
We design AI into the architecture and the build process itself — part of the foundation from day one.
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Parity by design
One product reaches Android, iOS, and web with true feature parity — planned from the data model up and delivered consistently across every platform.
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Engineered from first principles
We build core systems from scratch, the way our AI-native CRM was — owning the architecture end to end for full control and flexibility.
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Silicon to screen
We own the full stack — from edge firmware and embedded hardware through backend services to the interface a user experiences.
Have something ambitious to build?
Talk to our agent about the service or product you have in mind — it'll map your requirements to what QUBR Labs can build.
QUBR Agent
Tell us what you want to build
Hello — I'm the QUBR Agent. Tell me what you're looking to build, and I'll map it to how QUBR Labs can help. What are you working on?
or email qubr@qubr.io
An agent on the web and WhatsApp.