Services

What We Build

End-to-end AI engineering consulting. From model development and infrastructure design to production deployment and ongoing optimization.

01

AI Engineering Consulting

We embed with your team to design and ship production AI systems. Whether you need architecture review for an existing ML pipeline, a greenfield build, or hands-on augmentation for your engineering team, we bring the experience to move fast without cutting corners.

Stack

Python PyTorch MLflow Weights & Biases Docker Kubernetes

Capabilities

Architecture & Strategy
System design for ML pipelines, model serving, and data infrastructure
Team Augmentation
Senior AI engineering capacity embedded in your team and workflow
MLOps & Infrastructure
CI/CD for models, monitoring, experiment tracking, and deployment automation
Technical Due Diligence
AI system audits for investors, acquirers, and internal stakeholders
02

Local LLM Deployment

Run large language models on your own infrastructure. We handle model selection, fine-tuning with RL/RLHF, quantization, and inference optimization so you get production-grade performance without sending data to third-party APIs.

Stack

vLLM Ollama llama.cpp LoRA QLoRA Hugging Face

Capabilities

On-Premise Deployment
Self-hosted Llama, Mistral, and open-weight models on your hardware
Fine-Tuning
LoRA, QLoRA, and full fine-tuning with RLHF for domain-specific performance
Inference Optimization
vLLM, llama.cpp, and TensorRT-LLM for maximum throughput
Model Evaluation
Benchmarking, red-teaming, and quality assurance for production readiness
03

RAG & Agentic Systems

Build AI that reasons over your data and takes action. We design retrieval-augmented generation pipelines, multi-agent orchestration, and business process automation that integrate with your existing systems and workflows.

Stack

LangChain LlamaIndex Pinecone Weaviate ChromaDB pgvector

Capabilities

RAG Pipelines
Document ingestion, chunking, embedding, and retrieval with vector databases
Agent Orchestration
Multi-step reasoning, tool use, and workflow automation with LLM agents
Business Process Automation
End-to-end automation of knowledge work using AI agents
Evaluation & Guardrails
Retrieval quality metrics, hallucination detection, and safety filters
04

Edge AI & Embedded Intelligence

Deploy neural networks on microcontrollers and embedded devices. We specialize in model optimization that shrinks models from megabytes to kilobytes while maintaining accuracy, running inference in microseconds where connectivity is limited or latency matters.

Stack

TensorFlow Lite ONNX ESP32 Jetson OpenCV Edge Impulse

Capabilities

TinyML & Model Optimization
INT8/INT4 quantization, pruning, and architecture search for edge constraints
Computer Vision
Real-time object detection, defect inspection, and visual quality control
Hardware Deployment
ESP32, Jetson, Raspberry Pi, and custom embedded platforms
Industrial Integration
Sensor fusion, PLC communication, and production line integration
05

AI Strategy for Business

Not every AI problem needs a custom model. We work with leadership and product teams to cut through the hype, identify where AI will actually move the needle, and build practical roadmaps that align with your engineering capacity and business goals.

Stack

Strategic Planning Vendor Evaluation ROI Modeling Technical Due Diligence Workshop Facilitation

Capabilities

Opportunity Assessment
Identify high-ROI AI use cases across your business with honest feasibility analysis
Build vs. Buy Analysis
Evaluate vendor solutions against custom development based on cost, control, and capability
AI Adoption Roadmaps
Phased implementation plans with clear milestones, resource requirements, and success metrics
Executive Education
Hands-on workshops to help leadership teams make informed AI investment decisions
06

Fine-Tuning & Domain Adaptation

Make foundation models speak your language. We take open-weight LLMs and adapt them to your domain using your data -- turning general-purpose models into specialists that understand your terminology, processes, and quality standards without training from scratch.

Stack

Hugging Face LoRA QLoRA Axolotl Unsloth Weights & Biases

Capabilities

Domain Fine-Tuning
LoRA, QLoRA, and parameter-efficient training on your proprietary data and terminology
Dataset Engineering
Curating, cleaning, and structuring training data for maximum model quality
Evaluation & Benchmarking
Domain-specific eval suites that measure what actually matters for your use case
Continuous Adaptation
Pipelines for ongoing model updates as your domain knowledge evolves

Ready to build with AI?

Let's talk about your architecture, your models, and your timeline.

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