Dedicated AI & Software Engineering
Extend your organization with a cohesive team of five AI specialists spanning LLMs, machine learning, computer vision, APIs, and full-stack deployment. Built for collaboration with US-based enterprises and prime contractors.
EST/PST overlap and IP terms per engagement agreement.
Our engineers connect model development, retrieval and data systems, scalable backend services, and intuitive web interfaces, helping bring AI directly into business workflows.
Fine-tune and deploy LLMs, connect them to enterprise data, and provide intelligent knowledge interfaces such as secure copilots and search over private company data.
Llama 3 · Mistral · OpenAI API · LangChain · LlamaIndex
Learn more about Enterprise LLMs & RAGTrain and deploy industry-specific models for object detection, video processing, anomaly detection, and time-series forecasting using CNN and transformer-based approaches.
PyTorch · TensorFlow · Scikit-Learn · Hugging Face
Learn more about Computer Vision & Predictive AIBuild the APIs, services, and data layers behind production AI, handling high-concurrency inference requests, asynchronous task queues, and vector-database querying.
FastAPI · Flask · Node.js · Laravel · PostgreSQL
Learn more about AI APIs & Backend SystemsMake AI usable through responsive dashboards, chat interfaces, interactive data visualization, and real-time streaming experiences, deployed with CI/CD.
React.js · Next.js · Tailwind CSS · Docker · AWS
Learn more about Full-Stack AI ApplicationsCapability examples, not customer case studies.
RAG, LLM integration, semantic search
Vector databases, enterprise LLMs, APIs
PyTorch/TensorFlow, CNNs, vision transformers
Predictive ML, time-series forecasting
React/Next.js, Laravel, backend APIs
FastAPI/Flask, Node.js, async task queues
A pre-assembled, collaborative unit rather than separate freelance hires, with an established way of working.
Owns overall system architecture, foundation-model selection, and MLOps pipeline scalability and security. Primary technical liaison to US stakeholders.
Text processing, prompt engineering, RAG architecture, and fine-tuning open-source models for domain-specific tasks.
Creates and deploys CNN and transformer-based vision models for image recognition, video processing, and spatial analytics.
Manages Pinecone/Milvus and PostgreSQL, and builds high-speed Python and Node APIs serving deployed models.
React.js and Laravel specialist building dashboards, chat experiences, and user-facing web applications.
The team works from shared code repositories with integrated QA and takes part in daily stand-ups and agile ceremonies.
Skills across the full path from model to deployed product.
Interactive data visualization, real-time streaming interfaces
High-performance inference APIs, business logic, microservices
RAG pipelines, semantic search, intelligent agent orchestration
Custom model training, fine-tuning, computer vision, predictive analytics
Secure data storage, MLOps, containerized deployment, CI/CD pipelines
Technology names belong to their respective owners and do not imply partnership or certification.
Retain the full five-person team on a monthly retainer as an extension of your internal AI department.
For projects with defined requirements, including RFP-based work, scoped in a comprehensive Statement of Work.
Our stated policy is Zero IP Leakage. Engagements are designed so your code, models, and data pipelines remain yours.
Code, models, and data pipelines developed under engagements are treated as work made for hire.
All intellectual property remains with the client.
Engagements operate under strict non-disclosure agreements.
Secure, US-hosted AWS/Azure infrastructure, with the intent that data stays in your controlled environment.
Stated policies; final terms are set by contract and legal review. No certification or audit is claimed.
Request engineer profiles, case studies, or a technical consultation.
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