AI Integration & Automation
Real intelligence in real products — not chatbots glued to a homepage.
Overview
AI is most valuable when it disappears into the workflow. We build features users don't think of as "AI" — they just notice that the product feels smarter. We run AI in production ourselves — Pall (legal AI for Pakistani law), Virlo (creator content tools) — so we know the RAG, eval, and cost realities. Whether that's RAG-powered support copilots, automated document processing, smart routing, or fine-tuned classifiers, we focus on the integration work that makes the model genuinely useful in production.
What's included
The core capabilities you get with this service.
Custom LLM Integration
GPT-4, Claude, Gemini and open-source models integrated directly into your tool stack.
Intelligent Automation
Replace repetitive workflows with agentic — document processing, data extraction, smart routing and more.
RAG & Knowledge Systems
AI that knows your business — built on your docs, your data, your domain. Accurate. Private. Yours.
Our Approach
- 1
Start with the workflow
We map the actual user journey before picking a model — sometimes the right answer is a small classifier, not a 70B LLM.
- 2
Evals before launch
Concrete accuracy, latency, and cost evals on real data — so you ship knowing exactly how the system behaves.
- 3
Private by default
Your data stays in your cloud. No fine-tuning on customer data without explicit consent.
- 4
Human-in-the-loop where it matters
Confidence thresholds and review queues so high-stakes decisions don't slip past unsupervised.
What you get
Integrated AI feature(s)
Shipped to production, behind feature flags, with monitoring and rollback in place.
Eval harness
A golden dataset and automated eval suite your team can run on any prompt or model change.
Observability dashboards
Per-request tracing, token usage, latency, and cost — broken down by use case.
Documentation & runbook
Prompt library, eval methodology, and an incident playbook for when the model misbehaves.
Common questions
Will my data be used to train models?+
No. We use enterprise tiers (OpenAI, Anthropic, Google) where customer data is excluded from training by default, or self-hosted open-source models when stricter isolation is required.
How do you measure AI quality?+
We build a labeled golden dataset specific to your domain and define quality metrics with you — accuracy, recall, latency, and cost. Every prompt or model change runs against this eval before shipping.
Which LLM is best for my use case?+
Depends. We benchmark across providers (Claude, GPT, Gemini, and open-source) on your actual data and pick based on the eval results — not vendor marketing.
Let's Build Something Exceptional
You bring the idea, we bring the expertise — from feature-rich mobile apps to enterprise SaaS platforms.
Ready to start your next project?
Let's Make It Happen