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What We Do

Every service built around your outcome

We don't sell bodies. We deliver results — embedded teams, working software, and production AI that your business can own and scale.

Our services
End-to-end engineering, built for modern teams

From AI agent implementation to cloud infrastructure — we cover the full stack of what growing US companies need to build and scale.

01
Most in demand
AI Engineering & Agent Implementation

We build production AI — agents, chatbots, and integrations embedded inside your enterprise stack. Real systems your team can own.

  • AI agents for complex enterprise workflows
  • Chatbots trained on your business knowledge
  • RAG systems and knowledge base integration
  • Full stack integration into existing systems
Learn more about AI Engineering →
AI Stack — Platforms we build on
PlatformsAWS Bedrock · OpenAI · Azure AI · Google Vertex AI
Agent FrameworksLangChain · LangGraph · AutoGen
Data & RetrievalPinecone · pgvector · Weaviate
InfrastructurePython · FastAPI · Docker · Kubernetes
02
Fast to deploy
Staff Augmentation

Add senior engineers to your existing team within days. They work inside your process, your tools, and your culture — with full ownership from day one.

  • Senior engineers matched to your stack
  • Embedded in your sprints and standups
  • US-timezone aligned communication
  • Scale up or down as your needs change
Typical roles — Engineers we place
Full-stack engineers (React, Node, Python, Java, C#, C++)
AI / agent implementation engineers
DevOps & cloud engineers
QA & test automation engineers
Engineering managers & tech leads
03
Most popular
Managed Engineering Teams

A complete self-managed engineering pod — tech lead, engineers, and QA — delivered as one accountable unit. You set the direction. We handle the rest.

  • Tech lead included in every team
  • Agile delivery with full sprint transparency
  • QA built into every sprint cycle
  • Weekly reporting and delivery reviews
Team structure — What a managed pod looks like
1 Tech LeadOwns architecture & delivery end to end
2–6 EngineersMatched to your stack and domain
1 QA EngineerEmbedded in sprints — not an afterthought
OptionalPM, DevOps, AI specialist
04
End to end
Product Engineering

We take your product from architecture to delivery — designing, building, and maintaining software that works in the real world and scales with your business.

  • Architecture and technical design
  • Full-stack web and mobile development
  • API design and third-party integrations
  • Ongoing maintenance and iteration
Technologies we build with
React · Vue · Angular · Next.js
Node.js · Python · Java · Spring Boot · .NET
Flutter · React Native (mobile)
PostgreSQL · MySQL · MongoDB · Redis
05
Legacy systems
Application Modernization

We assess, plan, and migrate legacy systems to modern stacks — reducing technical debt, improving performance, and unlocking new capabilities without disrupting live operations.

  • Legacy codebase assessment and planning
  • Phased migration with zero downtime
  • Cloud-native architecture design
  • Systems & solutions architecture — IaaC, event-driven design, distributed systems patterns where appropriate
  • Architecture transformation: we assess whether microservices or another approach is right for your system — complexity for its own sake is never the goal
Common migrations
Architecture transformationMicroservices, modular monolith — matched to your context
On-premise to cloudAWS · Azure · GCP
Legacy to modern frameworks.NET, Java, Python, Node
Manual to automated pipelinesIaaC, CI/CD, event-driven architecture
06
Infrastructure
Cloud & DevOps

Production-ready infrastructure on AWS, Azure, or GCP — containerized, automated, and built to scale. DevOps as a competitive advantage, not an afterthought.

  • Cloud architecture and migration
  • CI/CD pipeline design and automation
  • Kubernetes, Docker, container orchestration
  • Monitoring, alerting, and cost optimization
Cloud stack
AWS · Azure · Google Cloud Platform
Kubernetes · Docker · Helm
Jenkins · GitHub Actions · Harness
Terraform · Ansible · Datadog · Kafka · RabbitMQ
How we engage
How a C3S engagement works

Our primary model is simple — we scope the work together, then we find and hire the right engineers for it.

Primary model
Scoped & Staffed

We work with you to define the scope, then recruit and hire engineers specifically matched to your needs.

  • We scope the work together upfront
  • We recruit engineers matched to your stack
  • Dedicated PM included at no cost
  • Exit with weeks of notice if needed
Also available
Staff Augmentation

Need to move fast? We embed engineers directly into your existing team — within days, not weeks.

  • Senior engineers ready to embed quickly
  • Works inside your existing process
  • Scale up or down as needs change
  • US-timezone aligned
Also available
Managed Team Pod

A self-managed engineering team — tech lead, engineers, QA — delivered as one accountable unit.

  • Tech lead owns delivery end to end
  • Agile sprints with full transparency
  • QA embedded in every sprint
  • Ideal for longer-term product work
Included at no cost
A dedicated Project Manager from day one
Every C3S client gets a dedicated PM at no extra charge — your single point of contact for communication, updates, and day-to-day coordination. You always know where things stand.
Our confidence guarantee
Not happy? Walk away in weeks — not months
We don't lock you into long contracts. If we're not delivering to your standard, terminate with just a few weeks of notice. No penalties. We offer this because we back our work completely.
Not sure which service fits?
Tell us what you're trying to build. We'll recommend the right team, the right model, and the right starting point.