AI-Augmented Development Services
Most teams add AI to software after it's already built. Classic Informatics delivers AI-augmented software development where intelligence is architected into the product from day one.
Trusted by Enterprises in 30+ Countries
Most AI integrations are scoped as features — added after the core system is already built. That's when the gaps show up. Models lack context, data flows weren't designed for it, and fixing it means reworking architecture you'd rather not touch. We come in at the architecture stage, so intelligence is built into how the product works — not layered on top.
OUR SERVICES
AI-Augmented Development We Deliver
Architecture Consulting
We design systems where AI is a core component, not an afterthought.
Custom Software Development
Custom software built around your business logic, data, and users.
AI Integration & Engineering
We build the pipelines and feedback loops that make AI perform reliably.
Deployment & Optimisation
We manage deployment & optimisation so your product's intelligence improves with use.
OUR SOLUTIONS
Our AI-Augmented Development Solutions
AI-Assisted Development
AI-Powered QA
AI Code Generation
AI-Optimized Delivery Workflow
AI-Assisted Code
Analysis
Development
Efficiency
OUR SERVICES
Building future-ready digital products & platforms
AI and Machine Learning
Core Capabilities:
- Machine Learning & Predictive AI
- Conversational AI
- Generative & Agentic AI
- Intelligent Automation
Data and Analytics
Core Capabilities:
- Data Engineering
- Data Warehousing
- Business Intelligence
- Advanced Analytics & Insights
Digital and Platform Modernization
Core Capabilities:
- Digital Transformation
- Legacy System Modernization
- Cloud & Platform Enablement
- System Integration
Software and Product Engineering
Core Capabilities:
- MVP Development
- End-to-end product development
- Custom software development
- Frontend & UX Engineering
OUR PROCESS
How We Implement AI-Augmented Development
Our Approach
We identify where AI will deliver real value in your product — and where it won't. You leave with a scoped product brief, prioritised AI use cases, and a clear starting point.
Key Activities:
- Define product goals and AI use cases
- Assess existing data and infrastructure
- Prioritise AI integration points by value
- Produce a scoped product brief
Our Approach
We design the full system — application and AI layer together. Every data flow, integration point, and model selection decision is made here, before any development begins.
Key Activities:
- Design architecture with AI built in
- Define data pipelines and retrieval strategies
- Select models and tooling for your needs
- Specify integration points and fallback behaviours
Our Approach
We build the application and AI components in parallel, not in sequence. Integrations are tested at realistic scale, with observability tooling in place from the start.
Key Activities:
- Build application and AI pipelines together
- Fine-tune models against your product data
- Implement inference and feedback loop components
- Set up monitoring and observability tooling
Our Approach
We manage production deployment and run a stabilisation period to catch issues that only surface at scale. Full technical ownership transfers to your team before we close.
Key Activities:
- Manage production deployment and rollout
- Configure performance dashboards and monitoring
- Resolve issues surfaced at production load
- Complete documentation and knowledge transfer
Our Approach
Post-launch, we analyse how the AI is performing against real usage and iterate where needed. Your product's intelligence should improve with use — this phase makes that happen.
Key Activities:
- Analyse production AI performance data
- Identify model drift and retrieval gaps
- Iterate on fine-tuning and retrieval strategies
- Expand AI use cases as data grows
Our Approach
We identify where AI will deliver real value in your product — and where it won't. You leave with a scoped product brief, prioritised AI use cases, and a clear starting point.
Key Activities:
- Define product goals and AI use cases
- Assess existing data and infrastructure
- Prioritise AI integration points by value
- Produce a scoped product brief
Our Approach
We design the full system — application and AI layer together. Every data flow, integration point, and model selection decision is made here, before any development begins.
Key Activities:
- Design architecture with AI built in
- Define data pipelines and retrieval strategies
- Select models and tooling for your needs
- Specify integration points and fallback behaviours
Our Approach
We build the application and AI components in parallel, not in sequence. Integrations are tested at realistic scale, with observability tooling in place from the start.
Key Activities:
- Build application and AI pipelines together
- Fine-tune models against your product data
- Implement inference and feedback loop components
- Set up monitoring and observability tooling
Our Approach
We manage production deployment and run a stabilisation period to catch issues that only surface at scale. Full technical ownership transfers to your team before we close.
Key Activities:
- Manage production deployment and rollout
- Configure performance dashboards and monitoring
- Resolve issues surfaced at production load
- Complete documentation and knowledge transfer
Our Approach
Post-launch, we analyse how the AI is performing against real usage and iterate where needed. Your product's intelligence should improve with use — this phase makes that happen.
Key Activities:
- Analyse production AI performance data
- Identify model drift and retrieval gaps
- Iterate on fine-tuning and retrieval strategies
- Expand AI use cases as data grows
Not Sure How to Build AI Into Your Product?
We assess your use case and design the architecture before any code is written.
WHY IT MATTERS
Benefits of AI-Augmented Development
Reliable Performance
Faster Time to Value
AI That Improves
Less Manual Work
Product Advantage
Full Engineering Control
Latest Case Studies
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PRODUCT DEVELOPMENT MEAN STACK FINANCEInsights-driven Online Platform For ASX Listed Companies
Survey-based web & mobile application catering to the financial market research sector.
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DATA ANALYTICS POWERBI HEALTHCAREDashboard & BI Application For a Leading Dental Care Provider
We developed a complete Business Intelligence App with Textual and Visual Reporting.
Read Full Case Study → -
PRODUCT DEVELOPMENT SCALA LOGISTICSIntegrated Online System That Simplifies Logistics
We offered end-to-end development & integration of an interactive platform for carrier management.
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PRODUCT DEVELOPMENT MERN STACK TRAVELInteractive Digital Platform For Guided Trip Planning
We built an impressive digital platform to bring travelers and travel experts together, under one platform.
Read Full Case Study → -
PRODUCT DEVELOPMENT MERN STACK REAL ESTATECentralized Property Management Platform For UK Real Estate Market
We built an all-in-one platform for three type of users- landlords, tenants, and contractors.
Read Full Case Study →
TESTIMONIALS
Businesses Worldwide Trust Classic Informatics
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★ ★ ★ ★ ★Their support helped us speed up development, expand global partnerships, and set up a cost-friendly cloud infrastructure for the future.
David McLean CEO, Hubbed -
★ ★ ★ ★ ★The API was deployed on schedule, collection revenue improved, and reporting got better. Their understanding of our requirements was exemplary.
Mohamed Tholley Standard Chartered Bank -
★ ★ ★ ★ ★Classic Informatics built and modernized our loan workflow platform, maintaining the same team across three years — critical for a product of this complexity.
Soren Scheibye Co-Founder, UdenomBanken -
★ ★ ★ ★ ★Everyone is professional, friendly, and diligent. Even in hectic times, work is always completed reliably — often after hours without complaint.
Daniel Hoffmann Founder, FAMILIARA GmbH -
★ ★ ★ ★ ★They delivered a seamless product with great code — organised, solution-oriented, and always willing to work through any problem.
David Englestien Director, Bloonaway -
★ ★ ★ ★ ★Always timely, highly communicative, and capable of taking on any kind and size of project — an unparalleled level of service.
Francesco De Conto Co-Founder, Kashew -
★ ★ ★ ★ ★Their skill set is unmatched — developers available for any requirement. We grew from 3 to 12 locations thanks to their work.
Software Manager, ParkCo Inc. -
★ ★ ★ ★ ★They're contributors and partners, not just vendors — bringing expertise and suggestions beyond the scope of work. Our product launch was a success.
Sonika Mehta Co-Founder, Zonka Feedback
PARTNER WITH US
Why Classic Informatics?
Value Beyond Code
Real-time data and modern systems give your teams the visibility to act.
Deep Tech Expertise
20+ years across legacy, data, and AI — the hard problems aren't new to us.
Built for Growth
We align every solution to your business goals, not just your tech stack.
Reliable Delivery
Expert teams who move fast, communicate clearly, and deliver on time.
AI-First Approach
Every solution we build is designed with AI in mind, from architecture to delivery.
Complete Transparency
You know what we're building, why, and what it costs — at every stage.
FAQS
Frequently Asked Questions
AI Should Be How Your Product Works. Not an Afterthought.
We build software with intelligence at the core, delivered end to end.