AI-Native Product Engineering and Embedded Teams

The people and technology to turn ambitious ideas into business outcomes.

CodeCones builds production-grade AI systems, cloud platforms, SaaS products, and custom software. When you need additional capability, we embed senior AI, full-stack, cloud, DevOps, and MLOps engineers directly into your team.

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From product discovery and architecture to engineering, deployment, and continuous improvement.

Our Approach

People and technology aligned to outcomes

Three things we believe every successful software engagement requires — and what we bring to every project.

Senior Engineering Talent

Senior engineers and specialists across AI, cloud, data, and full-stack — accountable for delivery.

  • AI and ML engineers, production-shipped
  • Cloud architects who design for scale
  • Full-stack engineers who own their code

AI and Cloud Technology

AI-native tools and engineering discipline applied to every engagement for the right outcome.

  • AI agents, RAG, MLOps, and data infrastructure
  • Cloud-native architecture for operational conditions
  • Engineering practices for maintainable, extensible code

Production Ready Outcomes

Production software, shipping teams, and scalable platforms — measured by what you can do.

  • Production software your team can own
  • Engineering capacity that increases your velocity
  • Systems designed to grow with your business

Trusted by teams running on the world's leading clouds

Microsoft Solutions Partner
Google Cloud Partner
AWS Partner Network

Our engineers hold accreditations and certifications across all three platforms

How We Work

Choose how CodeCones works with you

Three engagement models designed around how your business actually operates — not how consultancies prefer to bill.

Build with us

Managed Product Engineering

We own product engineering end to end, with full delivery accountability.

  • End-to-end delivery with full accountability
  • Architecture, engineering, and deployment included
  • You bring vision; we deliver

For teams that want to build without hiring.

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Extend your team

Embedded Team Specialists

Senior engineers join your team, working inside your tools and codebase.

  • Works in your tools and processes
  • Reduces handoff friction and onboarding time
  • Adds capacity without disrupting your culture

For teams needing capacity without replacing their culture.

Build Your Team
Sustained velocity

Dedicated Engineering Pods

A cross-functional team assigned exclusively to your workstream.

  • Engineers, architect, and delivery lead included
  • Consistent velocity with shared product context
  • Long-term focus without the hiring overhead

For long-term product development needing sustained focus.

Build a Dedicated Team
What We Build

Engineering capabilities for modern products and platforms

Five disciplines we apply across every engagement — from early-stage product development to enterprise platform engineering.

Core Service

AI Product Development

  • Evaluation-first engineering with test sets before prompts
  • RAG pipelines built for accuracy at scale
  • Model governance, versioning, and rollback controls
  • Full observability and hallucination monitoring
  • From validated prototype to production deployment
Automation

Agentic AI and Workflow Automation

  • Autonomous agents that plan, reason, and execute multi-step tasks
  • Orchestration using LangGraph, AutoGen, and CrewAI
  • Human-in-the-loop escalation paths and fallback logic
  • Integration with your existing systems and workflows
  • Reliable at scale with clear responsibility boundaries
Software Engineering

Custom Software and SaaS Engineering

  • Full-stack SaaS platforms and customer-facing products
  • Designed for real-world load and enterprise scale
  • Internal tools and operational software built to last
  • Clean architecture that your team can maintain and extend
  • API design, data modelling, and integration engineering
Data & MLOps

Data Engineering and MLOps

  • Cloud data pipelines with lineage, alerting, and SLA controls
  • Feature stores and model training infrastructure
  • ML deployment with drift detection and automated retraining
  • Real-time streaming for use cases that cannot wait for batch
  • Compliance-ready data flows for regulated environments
Cloud & DevOps

Cloud DevOps and Platform Engineering

  • Infrastructure as code across AWS, Azure, and GCP
  • Kubernetes orchestration and container platform engineering
  • CI/CD pipelines with security scanning and quality gates
  • Cost-optimised compute strategies and NoOps automation
  • Observability, alerting, and incident response tooling
Our Process

Build. Scale. Ship.

Three stages that describe how we approach every engagement — from first line of code to production handover.

We design and engineer software from the ground up

Architecture decisions are made for longevity. Code is written to be owned, maintained, and extended — not handed off and forgotten. Every build begins with understanding what you are trying to achieve and designing the simplest system that achieves it well.

  • Product discovery and technical scoping
  • Architecture design and technology selection
  • Engineering sprints with regular delivery checkpoints
  • Code review, testing, and quality assurance
  • API design and third-party integration
  • Documentation and knowledge transfer
Why CodeCones

Engineering capability with delivery accountability

Five commitments we make to every client — and what we believe sets working software partnerships apart from typical agency engagements.

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Projects Delivered

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Senior Engineers

2019

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Client Retention

We write code you can own

Your IP, your codebase, your infrastructure. We do not create dependencies. Every engagement includes full documentation, clean handover, and a codebase your team can maintain and extend without us.

We ship in production, not in slides

Our measure of success is working software in your hands, not a strategy document or a prototype that never runs in production. Delivery is a fact, not a forecast.

Experienced engineers with delivery accountability

Our engineers bring technical judgement, architectural thinking, and ownership, rather than operating only as task-based resources.

We align to your commercial context

We do not upsell complexity. We design for what you actually need — something that works today and can be extended tomorrow. Scope is driven by your outcome, not our billing model.

Ownership through deployment and handover

We maintain clear ownership through deployment, transition, and the agreed post-launch support period. Delivery includes agreed deployment support, documentation, knowledge transfer, and operational handover.

Industry Outcomes

Engineering shaped around the systems, workflows, and risks of your industry.

Explore how CodeCones combines product, AI, data, cloud, and engineering capability around industry-specific operating challenges.

Healthcare

Connecting revenue-cycle data, documents, workflows, and exception handling

Lower manual administrative effortFaster exception handlingImproved workflow visibilityStronger auditabilityMore consistent process execution

The challenge

Revenue-cycle operations often span payer, provider, billing, document, patient-service, and finance systems. Manual exception handling can increase administrative effort and slow resolution.

McKinsey estimates that AI enablement of healthcare revenue-cycle operations could reduce cost to collect by 30% to 60%.

McKinsey and Company, 2026

What we engineer

  1. Data and document ingestion
  2. Classification and extraction
  3. Workflow orchestration
  4. Business-rule integration
  5. Human review for exceptions
Explore Healthcare

More industries

Financial Services

Banking workflows depend on fragmented customer data, manual coordination, and disconnected service systems. AI can improve frontline productivity without sacrificing controls.

Explore Financial Services
Technology

Faster code generation does not improve delivery when testing, deployment, and operational processes remain fragmented.

Explore Technology
Retail

Customer, product, and transaction data distributed across commerce and marketing platforms makes consistent personalization difficult to deliver.

Explore Retail
View all service and industry capabilities

Flagship Product

ResolveCX — AI-Powered Case Management

Our AI-native engineering methodology applied to a product we build and operate ourselves. ResolveCX is a case and complaint management platform built for regulated industries — available as a standalone product.

  • AI-native complaint and escalation triage
  • Automated SLA tracking and breach prevention
  • Audit-ready case lifecycle documentation
  • Multi-channel intake — web, email, phone, and API
  • Regulated industry compliance — healthcare, financial, government
ResolveCX Inbox conversation view

Latest Insights

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Frequently Asked Questions

Common questions about how we work and what we build

CodeCones builds AI-native products, custom SaaS platforms, internal tools, data engineering systems, and cloud-native infrastructure. Our work spans agentic AI, RAG pipelines, MLOps, full-stack product engineering, and DevOps and platform engineering across regulated industries including healthcare, financial services, and insurance.

We work with large language models, agentic AI frameworks, retrieval-augmented generation, multi-agent orchestration, vector databases, and ML deployment infrastructure. On the platform side we work with AWS, Azure, and GCP, container orchestration, infrastructure as code, and modern CI/CD tooling.

We offer three engagement models: Managed Product Engineering where we take delivery ownership, Embedded Specialists where our engineers join your team under your processes, and Dedicated Engineering Pods where a cross-functional team is assigned to your workstream. Each model is designed around how your business actually operates.

Yes. Handover is a planned part of every engagement. We support the rollout, manage incidents during the early operational period, and ensure your team has the documentation and context to own what we have built. Ongoing support arrangements are available where required.

Ownership of project-specific deliverables is defined in the engagement agreement. Clients typically own the software and documentation created specifically for their engagement, subject to agreed treatment of pre-existing CodeCones materials, reusable frameworks, open-source components, and third-party technology.

Do you need a product delivered or an engineering team strengthened?

We work with product companies, enterprises, and growth-stage businesses that need software engineering done properly. Tell us what you are building.

Start a ProjectBuild Your Team

Outcomes-Driven Engineering — from discovery to deployment and beyond.