S-08 AI solutions
AI & Machine Learning Development
Custom AI and machine learning — from strategy and models to LLM agents, data pipelines, and MLOps — engineered into the systems your business already runs, not bolted on as a demo.
01 What we build
AI & machine learning services, end to end
AI strategy & discovery
We map where AI creates measurable value in your operations, then scope a pilot with a clear ROI case.
Custom machine learning
Models built and trained on your data — classification, extraction, prediction, and recommendation.
LLM agents & automation
Agentic workflows that retrieve context, call approved tools, and move work forward under guardrails.
AI integration for products
AI features embedded into your SaaS or internal apps — copilots, search, summarization, and RAG.
Data engineering & pipelines
The pipelines, storage, and retrieval layer that make AI reliable on your real business data.
MLOps & monitoring
Evaluation, deployment, and monitoring that keep accuracy and cost in check as models evolve.
02 Why Invatechs
Applied AI, built as production software
We're an AI-first software team, not a research lab. A decade of API, fintech, and data-engineering work is exactly the foundation that turns a model into a dependable business system.
- Full-cycle AI delivery — strategy, data, models, integration, and long-term support
- Security-minded by default — scoped access, audit trails, and human-in-the-loop for high-impact actions
- Real integration depth — AI wired into the CRMs, ERPs, and APIs your business already runs
- Evaluation over hype — we measure accuracy, cost, and outcomes, not demos
03 How it runs
Five steps from idea to AI in production
Find the workflow where AI has volume, friction, and measurable impact.
Prepare data, choose models, and design the guardrails and review points.
A working AI workflow against one real use case, with baseline metrics.
Hardened, integrated, and deployed with monitoring and access controls.
Tune prompts, models, and rules as data and usage change.
04 Questions
Frequently asked questions
Do we need our own data science team to work with you?
No. We provide the full capability — strategy, data engineering, machine learning, and integration — and can work alongside your team or own delivery end to end.
Can you add AI to our existing product or systems?
Yes. Most of our AI work is integration: embedding models, LLM agents, and RAG into the CRMs, apps, and APIs you already run, with scoped access and audit trails.
How do you keep AI accurate and safe in production?
We build evaluation sets, monitoring, and human-in-the-loop review for high-impact actions, then tune models, prompts, and rules as your data and usage change.
