AI That
Ships.
Custom chatbots, AI agents with RAG pipelines, workflow automation, generative media, and predictive models — built on GPT, Claude, and open models, wired into your actual systems, and measured on results instead of demos.
Practical AI, production-grade
Most AI projects die between the demo and the deployment. Ours don't, because we build the boring parts first: clean data pipelines, evaluation suites, and cost controls. Then the model goes live with monitoring, and you get reports on what it actually does for your business.
AI & ML Services
Six ways we put AI to work, from a custom chatbot to a full data platform.
Custom Chatbots & LLM Integration
Custom chatbots for support, sales, and internal tools, built on GPT, Claude, and open models. RAG pipelines ground every answer in your own docs and data, not the model's guess.
AI Agents & Workflow Automation
Agents that run workflows end to end: customer service, research, data entry, approvals. RAG pipelines, custom MCP servers, tool use, and multi-agent orchestration.
Generative Media
Image and video generation pipelines with Stable Diffusion, DALL-E, and custom-trained models. Product imagery, marketing assets, and virtual try-on at scale.
Predictive Analytics
Demand forecasting, churn prediction, risk scoring, and trend analysis. Models that plug into your existing dashboards and return numbers you can act on.
Computer Vision & NLP
Image recognition, visual inspection, sentiment analysis, document processing, and translation. Classic ML and deep learning, chosen by what the problem needs.
Data Engineering & BI
The plumbing AI depends on: ETL pipelines, data warehouses on Snowflake and BigQuery, streaming with Kafka, and executive dashboards your team actually opens.
Why Choose Aexaware for AI & ML
Research-grade models, production engineering habits, and no hype.
Production First
Demos are easy. We ship models with monitoring, fallbacks, and cost controls so they survive real traffic.
Model Agnostic
We pick per problem: hosted APIs when they're enough, fine-tuned or open models when they're not. No vendor lock-in.
Your Data Stays Yours
Private deployments, data agreements, and pipelines that keep sensitive information inside your infrastructure.
Measured Outcomes
Every engagement defines success metrics up front: accuracy, cost per task, hours saved. We report against them.
Full Stack Delivery
From data pipelines to API to frontend, one team owns the whole path so nothing falls between vendors.
Ongoing Optimization
Models drift and prompts age. We monitor, retrain, and tune after launch as part of the engagement.
Our Technical Toolbox
Frequently Asked Questions
How long does it take to implement AI solutions?
What data do you need to start?
Can AI models run on our own infrastructure?
How do you keep AI costs under control?
Do you provide support after launch?
Let's Build Something
Extraordinary.
Tell us what you're building. We reply with a technical plan and a quote, usually within 24 hours.