AI & Machine Learning

AI Products That Actually Work

From concept to production — we build AI solutions that deliver results

We don't just experiment with AI — we ship production-ready products. Our team has built Integrio.AI and delivered AI solutions across fintech, healthcare, e-commerce, and manufacturing.

25+

AI Products Built

100+

ML Models Deployed

94%

Average Accuracy

Faster Development

Start Your AI Project View AI Case Studies

What We Offer

Comprehensive solutions tailored to your specific needs and goals.

Custom LLM & GPT Integration

Build AI assistants, chatbots, and content generation systems powered by GPT-4, Claude, and open-source models.

Multi-model orchestration (OpenAI, Claude, Gemini)
Context-aware conversations with RAG
Fine-tuning for your domain
Prompt engineering and optimization

4-8 weeks

RAG & Knowledge Systems

Connect AI to your data with retrieval-augmented generation for accurate, context-aware responses.

Document ingestion pipelines
Vector database setup
Semantic search implementation
Hybrid search (keyword + semantic)

3-6 weeks

ML Model Development

Custom machine learning models for prediction, classification, and recommendation systems.

Predictive analytics models
Recommendation engines
Fraud detection systems
Computer vision solutions

6-12 weeks

AI Agent Architecture

Autonomous AI agents that can reason, plan, and execute complex multi-step tasks.

Multi-agent orchestration
Tool use and function calling
Memory and context management
Human-in-the-loop workflows

6-10 weeks

AI That Actually Ships

Most AI projects fail before reaching production. Ours don't.

We've shipped 25+ AI products to production — not prototypes, not demos, real systems handling real data
Average project goes from first call to production in 3-4 months
Every project includes post-launch support because AI systems need ongoing care
Fixed pricing means you know the cost upfront — we eat overruns, not you

Key Benefits

Production-Ready

We ship AI that works in the real world, not just in demos.

100% deployment rate

Faster Time-to-Value

Our experience means faster development without cutting corners.

3x faster delivery

Enterprise-Grade

Security, scalability, and compliance built in from day one.

SOC2 compliant

Measurable ROI

We focus on business outcomes, not just technical metrics.

400% average ROI

Our Process

A proven approach that delivers results consistently.

Discovery & Strategy

1-2 weeks

Understand your business goals, data landscape, and define AI success metrics.

AI readiness assessmentData auditSolution architectureProject roadmap

Data & Model Development

4-8 weeks

Prepare data pipelines, develop and train models, iterate on performance.

Data pipelinesTrained modelsEvaluation reportsModel documentation

Integration & Testing

2-4 weeks

Integrate AI into your systems, comprehensive testing, and performance optimization.

API endpointsIntegration codeTest reportsPerformance benchmarks

Deployment & Monitoring

1-2 weeks

Production deployment with monitoring, alerting, and continuous improvement.

Production deploymentMonitoring dashboardsRunbooksTraining

Why Build AI Products With Us?

We've built our own AI products — Integrio.AI handles thousands of LLM calls daily. That experience means we've already solved the problems you'll face: rate limiting, cost optimization, model fallbacks, context management. We're not learning on your project.

We Run AI in Production

Integrio.AI processes real business data every day. We know what breaks at scale because we've broken it ourselves and fixed it.

Engineers, Not Consultants

You talk directly to the people building your system. No project managers translating requirements. No offshore handoffs.

Enterprise Security From Day One

We've built AI for healthcare and finance. Data handling, audit trails, and compliance aren't features we add later — they're built into how we work.

Focused on Business Outcomes

We don't optimize for impressive metrics in a demo. We optimize for the numbers that matter to your business — cost savings, revenue impact, time saved.

Real-World Use Cases

Examples from projects we've delivered — with real challenges, solutions, and outcomes.

E-CommerceRetailMax

E-Commerce Recommendation Engine

Generic recommendations leading to low engagement and conversion.

Results

34% higher AOV

28% better conversion

$8M revenue increase

View All Case Studies

What Our Clients Say

"DevSimplex delivered a fraud detection system that exceeded our expectations. The reduction in fraud losses paid for the entire project within 3 months."

James Morrison

CTO, Global Payment Solutions

Frequently Asked Questions

How long does it take to build an AI product?

Most AI products take 3-6 months from concept to production. Simple integrations (like chatbots) can be done in 4-8 weeks, while complex ML systems may take 6-12 months. We built Integrio.AI's core platform in 4 months — that's our benchmark for what's realistic.

Do we need a lot of data to start?

It depends on the use case. For LLM-based solutions, you can start with relatively small datasets — even a few hundred examples for fine-tuning. For custom ML models, we typically need thousands of labeled examples, but we can help with data collection and augmentation strategies. We've built systems that started with 500 samples and scaled from there.

How do you ensure AI model accuracy?

We use rigorous evaluation frameworks with held-out test sets, cross-validation, and real-world A/B testing. We also implement monitoring to catch model drift and performance degradation in production. Every model we deploy has automated alerts for accuracy drops — we don't wait for users to report issues.

What about AI safety and bias?

We implement guardrails, content filtering, and bias testing as standard practice. For regulated industries, we ensure explainability and audit trails for AI decisions. We've built systems for healthcare and finance where every AI decision needs to be auditable — it's not an afterthought for us.

Can you work with our existing systems?

Yes. Most projects involve integrating AI into existing infrastructure — ERPs, CRMs, data warehouses. We design APIs that fit your architecture, not the other way around. We've integrated with Salesforce, SAP, Oracle, Workday, and plenty of custom systems.

What happens if the AI doesn't perform as expected?

We build in checkpoints throughout development. After the first 2-4 weeks, we have a working prototype you can evaluate. If performance isn't where it needs to be, we adjust the approach early — not after 6 months of development. We've killed projects that weren't going to work, and we'll be honest with you if that's the case.

Do you offer ongoing support after launch?

Every project includes 30 days of post-launch support at no extra cost. After that, most clients stay on a retainer for ongoing improvements, model retraining, and new features. AI systems need care and feeding — models drift, data changes, users find edge cases. We plan for that from day one.