01
Performance
AI demos that never ship
Most AI projects fail between proof-of-concept and production. Without the right architecture, data pipelines, and infrastructure, AI stays a slide deck.
40%
visitors lost at 3s+
AI & RAG Development for Production Products
We build and deploy ML models, LLM-powered applications, AI chatbots, and intelligent automation systems that solve real business problems — not just demos.
20+ AI systems in production | OpenAI, LangChain, TensorFlow, PyTorch
- Projects shipped
- 0+
- Clients worldwide
- 0+
- Satisfaction
- 0%
- Avg Response
- <0h
Projects shipped
Clients worldwide
Satisfaction
Avg Response
WHY CODEFLAMME
- Discovery → design → delivery under one roof
- Two-week sprints with live demos every Friday
- Dedicated team — no freelancers or hand-offs
- NDA before every project, full IP ownership
RESPONSE TIME
<24h
We reply to every inquiry within one business day with a structured plan.
Problems We Solve
Problems We Solve
Legacy platforms, scaling bottlenecks, and one-size-fits-all tools — we see these patterns every week.
- 02
Architecture
Generic chatbots frustrating users
Off-the-shelf AI answers generic questions. Businesses need AI trained on their own data and domain knowledge to be genuinely useful.
3×
rebuild cost at scale
- 03
Fit
Manual processes at scale
High-volume data processing, document analysis, and repetitive decision-making cost your team hours that AI can handle in milliseconds.
0%
workflow match
WHY CODEFLAMME
Not Another Offshore Vendor
We know the hesitation. Here's exactly how we're different.
You Talk to the People Building It
No account managers relaying messages. You're in direct contact with the founder and senior engineers on your project — every sprint, every decision.
No Bench Rotation
The team that scopes your project is the team that ships it. We don't swap engineers mid-project to free them up for someone else.
NDA Before We Talk Details
Your idea and IP are protected from the first real conversation — not after contracts are signed.
Full IP, Zero Strings
Every line of code, every design file, transfers to you on delivery. No licensing, no retained rights, no surprises.
Our Approach
How We Build AI That Actually Works in Production
We start with your data and your business problem — not the model. Every AI engagement begins with a data audit and feasibility assessment. We design for reliability and observability first, then build the pipeline. All systems ship with monitoring dashboards and feedback loops so performance improves over time.
For healthcare and MedTech products, that same production mindset covers PHI boundaries from day one. We separate identifiable patient data from model training and retrieval stores where possible, log access for audit, and keep a clinician or care-team review step on high-risk outputs — so clinical documentation AI, triage assistants, and EHR-connected features stay useful without becoming a compliance liability. Evaluation sets use de-identified or synthetic clinical examples wherever real PHI is not required.
- Data audit and feasibility assessment before model selection
- Built for reliability, observability, and production readiness
- Monitoring dashboards and feedback loops from day one
- Healthcare builds: PHI minimisation, audit logs, and clinician-in-the-loop review
- EHR/FHIR context only where consented — never silent PHI sprawl into vector stores
IMAGEAI pipeline / model workflow diagram
Capabilities
What We Deliver
Production LLM, ML, and automation capabilities — the same stack we ship across SaaS and healthcare products.
- 01
LLM Integration & RAG
GPT-4, Claude, and open-source LLM integration with Retrieval-Augmented Generation for accurate, grounded responses from your data.
- 02
AI Chatbots & Assistants
Domain-specific conversational AI trained on your knowledge base, product data, and support history.
- 03
Predictive Analytics
Churn prediction, demand forecasting, lead scoring, and risk models built on your historical data.
- 04
Computer Vision
Object detection, image classification, document OCR, and visual inspection for industrial and commercial use.
- 05
NLP & Text Intelligence
Text classification, sentiment analysis, entity extraction, and document summarisation at scale.
- 06
ML Model Development
Custom supervised and unsupervised model training, validation, and deployment to production APIs.
- 07
AI Automation Pipelines
End-to-end automation of document processing, data extraction, classification, and routing workflows.
- 08
Vector Search & Semantic DB
Semantic search systems and recommendation engines using Pinecone, Weaviate, or pgvector.
Healthcare AI
AI Use Cases We Build for Healthcare Teams
Clinical documentation, HIPAA-aware RAG, patient triage assistants, and FHIR-connected AI features — designed for care settings, not generic chat demos.
- 01
Clinical Documentation AI
Ambient and post-visit note assistants that draft SOAP notes, discharge summaries, and coding hints from clinician dictation or encounter context — always with edit-before-sign workflows so clinicians stay accountable for the chart.
- 02
HIPAA-Aware RAG Pipelines
Retrieval over approved clinical guidelines, protocols, and internal playbooks with access controls, encryption, retention rules, and redaction so PHI does not leak into prompts, embeddings, or vendor logs.
- 03
Patient Triage & Chat Assistants
Patient-facing chat that routes symptoms, FAQs, and appointment intent with clear escalation to human care — never presented as a diagnosis engine, and never storing unnecessary PHI in chat history.
- 04
EHR / FHIR Data for AI Features
HL7 FHIR and EHR integration patterns for AI features: scoped resource reads, consent-aware context windows, and write-back only through validated clinical workflows your care team already trusts.
Technology Stack
Built With the Right Tools for Every Challenge
Production ML and LLM tooling — from model training to deployed, observable AI systems.
LAYERS
04
TOOLS
23
01
STACK_LAYER
AI & ML
02
STACK_LAYER
Data & APIs
04
STACK_LAYER
Deployment
RELATED WORK
Featured Projects
FAQ
Frequently Asked Questions
Can't find what you need? Talk directly with our team.
Book a Discovery CallYes — chatbots, recommendation engines, predictive models, and LLM integrations added without a full rebuild.
Ready to build something powerful?
Tell us what you are building. We will respond within 24 hours with a clear, honest assessment — no pressure, no sales pitch.
NDA protected · Reply within 24 hours · No commitment required