Our Services

We provide hands-on engineering and consulting services for developers and enterprise teams building complex, high-impact systems. Each engagement is tailored to your goals, constraints, and existing architecture — with a strong focus on clarity, maintainability, and production readiness.

AI Integration & LLM Systems

We help teams design, build, and operationalize AI-powered systems using large language models. Our work goes beyond prototypes, focusing on reliability, evaluation, cost efficiency, and real-world deployment.

What we typically work on

  • Retrieval-augmented generation (RAG) pipelines
  • Agent-based and tool-using LLM workflows
  • AI feature integration into existing products
  • Evaluation frameworks for accuracy, latency, and cost
  • Production deployment, monitoring, and iteration

Typical engagement approach

Discovery & problem framing

We work closely with business and technical stakeholders to clarify use cases, constraints, and success metrics.

System design

Architecture design covering data ingestion, retrieval strategy, model selection, evaluation, and deployment.

Implementation & iteration

Hands-on development with frequent checkpoints and measurable improvements.

Production hardening & handoff

Documentation, operational guidance, and optional team enablement.

Common technologies

Models & APIs

OpenAI, Anthropic, Azure OpenAI, open-source LLMs

Retrieval & data

Vector databases (pgvector, Pinecone, Weaviate), SQL/NoSQL stores

Infrastructure

AWS, GCP, Azure, serverless & containerized deployments

Observability

Logging, tracing, cost tracking, evaluation pipelines

Tech stacks are selected based on your environment and requirements, not pre-defined templates.

Product & Platform Engineering

We deliver end-to-end product engineering — from early MVPs to scalable platforms — with a focus on clean architecture and long-term maintainability.

What we typically work on

  • Web application development (frontend & backend)
  • API design and system architecture
  • Integrations with internal and third-party systems
  • Performance, reliability, and scalability improvements
  • Developer experience and code quality improvements

Typical engagement approach

Requirements clarification

Translate high-level goals into concrete technical plans.

Architecture & foundations

Establish a solid foundation that supports current needs and future growth.

Incremental delivery

Ship features in small, reliable increments with clear ownership.

Stabilization & evolution

Optimize performance, address edge cases, and prepare for scale.

Common technologies

Frontend

React, Next.js, modern UI frameworks

Backend

Node.js, Python, Ruby, REST & GraphQL APIs

Data

PostgreSQL, Redis, object storage

DevOps

CI/CD pipelines, cloud-native deployments

Embedded Engineering & Strategic Partnership

For teams that need senior technical leadership or execution capacity, we work as an embedded partner — contributing directly inside your team and processes.

How this typically looks

  • Acting as a senior individual contributor on critical initiatives
  • Leading design and implementation of complex systems
  • Collaborating with product managers and business owners
  • Unblocking teams and accelerating delivery
  • Mentoring engineers and raising technical standards

This model works well when

  • Requirements are evolving
  • Speed and quality both matter
  • Deep context and continuity are important

Engagement Models

We offer flexible engagement models depending on scope clarity and collaboration needs.

Fixed Scope

Best for well-defined projects with clear deliverables and acceptance criteria.

Time & Materials

Ideal for exploratory or evolving work where priorities may shift over time.

Retainer / Ongoing Partnership

A long-term collaboration model with dedicated capacity for continuous development, iteration, and support.

Discuss Your Project