AI & Automation Services
Systems that think, work, and learn without you
We design and ship AI tooling, conversational chatbots, and custom machine learning systems that plug straight into how your business already runs — no rip-and-replace required.
120+Automations shipped
40hrsAvg. saved per week
98%Client retention
01 — Connect what you already use
AI Tools & Integrations
We wire large-language-model intelligence into your existing stack — CRM, helpdesk, spreadsheets, internal tools — so your team gets AI-assisted work inside the apps they already open every day.
- Custom integrations between your CRM, inbox, and internal dashboards, built on the APIs you already have.
- Workflow automation that triages tickets, tags leads, and drafts replies before your team even opens the app.
- Data pipelines that keep every connected tool reading from the same source of truth, in real time.
- Security-first setup with scoped access, audit logs, and no data leaving your existing infrastructure.
02 — Talk to your customers, always
ChatGPT-Powered Chatbots
Custom-trained conversational agents that know your product, your policies, and your tone of voice — deployed on your site, app, or WhatsApp in days, not months.
Can you check the status of order #4521?
Order #4521 shipped this morning — arriving Thursday. Want the tracking link?
Yes please, and can I change the delivery address?
Done — updated to your new address, tracking sent to your email 👍
Type a message…
- Trained on your content — docs, FAQs, and past tickets — so answers are accurate, not generic.
- Live handoff to humans whenever a conversation needs a real person, with full context carried over.
- Multi-channel deployment across your website, mobile app, and WhatsApp from one shared brain.
- Conversation analytics showing exactly what customers ask, and where the bot should improve.
03 — Custom models, built to spec
Python AI/ML Development
When off-the-shelf AI isn’t enough, our engineers build and train custom models in Python — forecasting, computer vision, recommendation systems — tuned to your data.
1from airax_ml import Trainer, Dataset
2
3data = Dataset.load(“customer_orders.csv”)
4model = Trainer(task=“demand_forecast”)
5
6model.fit(data, epochs=50)
7# accuracy: 0.94 | val_loss: 0.081
8
- Forecasting & prediction models for demand, churn, and pricing — trained directly on your historical data.
- Computer vision pipelines for quality checks, document parsing, and image classification.
- Recommendation engines that personalize what each user sees, built and A/B tested end to end.
- MLOps & deployment — versioned, monitored models shipped on infrastructure your team can maintain.
6–10 wksTypical build timeline
35+Integrations supported
24/7Chatbot uptime monitoring
0.94Avg. model accuracy shipped