From product design, agents, and enterprise knowledge to complete web applications, platforms, APIs, and cloud operations.
SERVICES
From working prototype to product at scale.
AI software, SaaS, cloud and device services, smart hardware, integrated systems, and the engineering needed to launch, manufacture, and operate them.
TWO PRODUCT WORLDS
Pure software, or devices in the real world.
Delivered independently or combined into one complete cloud-to-device product.
From electronics, firmware, and mechanical prototypes to connected, testable, manufacturable products.
PRODUCT ARCHITECTURE
Technology follows the product—not the other way around.
Models, software platforms, chips, and device architectures are selected around use case, cost, performance, and supply chain.
Agent · Knowledge · Workflow · Multimodal
Model Service · Device Service · Data
Edge Runtime · Sensor Fusion · Control
SoC / MCU · BSP · Firmware · Drivers
Architecture · PCB · Structure · Interaction
Prototype · Test · Certification · Production
ENGINEERING CAPABILITIES
Specialist capabilities behind a complete product.
LLM / VLM / Multimodal Applications
Bring language, images, speech, and structured data into one business context.
AI Agent / Multi-Agent
Plan, coordinate, execute, and manage state across complex tasks.
Agent Harness
Build reliable tool registries, permissions, memory, tracing, and recovery.
RAG / Enterprise Knowledge
Turn fragmented knowledge into retrievable, citable, governed model context.
AI Workflow
Embed reasoning, generation, and execution in observable business workflows.
Prompt / Context Engineering
Design system instructions, context windows, and long-term memory.
Model APIs and Multi-model Routing
Route models dynamically by quality, cost, latency, and availability.
Private Open-source Model Deployment
Meet data-boundary, model-sovereignty, and private-environment requirements.
Large-model Inference Services
Build inference infrastructure for throughput, latency, elasticity, and observability.
LoRA / SFT Model Fine-tuning
Use high-quality domain data to create stable, specialized model behavior.
Model Evaluation and Benchmarking
Measure real performance with offline evaluation, live feedback, and red-team testing.
MCP / Tools / Skills
Connect data, software services, and execution environments through standard protocols.
AI Coding and Developer Tools
Bring AI into engineering workflows, from code understanding to delivery.
Speech / Vision / Multimodal
Understand sound, images, documents, and spatial information from the real world.
Edge AI / On-device AI
Deliver low-latency, privacy-friendly intelligence in constrained environments.
IoT / Device Connectivity and Control
Connect sensors, actuators, controllers, and cloud business systems.
Hardware Architecture and Component Selection
Select processors, sensors, and peripherals around performance, power, cost, and supply constraints.
Schematic and PCB Design
Cover schematics, layout, high-speed signals, power integrity, and design for manufacturing.
Embedded Firmware and Drivers
Develop BSPs, drivers, communication protocols, real-time control, and secure updates.
Industrial and Mechanical Design
Unify interaction, thermal management, protection, assembly, and product form.
Prototype Build and System Integration
Build EVT prototypes, debug boards, integrate software and hardware, and close reliability issues.
Certification and Production Support
Support DFM, test fixtures, certification, supply-chain coordination, and production ramp.
ENGINEERING PRINCIPLES
Move fast in the demo. Engineer rigorously for the product.
Reliable
Recover from failure, behave predictably, and protect every critical path.
Observable
Trace every step from input and retrieval through reasoning and tool execution.
Manufacturable
Design components, PCB, enclosure, and test fixtures for stable production and target cost.
Evolvable
Give models, applications, firmware, and devices clear upgrade and maintenance boundaries.