Service
We build AI-powered automation, document processing, search, recommendations, and assistants for business workflows.
Benefits
Capabilities
Tech Stack
How We Work
01
Problem Definition
Find high-value automation opportunities.
02
Data Review
Assess data quality, volume, and risk.
03
Prototype
Validate with a working proof of concept.
04
Productionize
Add guardrails, monitoring, and cost controls.
05
Improve
Measure outcomes and iterate.
FAQ
What AI solutions do you build for businesses?
LLM integrations, document extraction, predictive analytics, AI search, chatbots, and computer vision — built to automate repetitive tasks, extract insight from unstructured data, and personalize experiences within your existing business workflows.
How do you avoid AI projects that never make it to production?
We start with a prototype to validate a working proof of concept before productionizing, then add guardrails, monitoring, and cost controls. Most AI projects fail from unclear scope, not technology — our process front-loads that risk.
Is our data safe to use with AI?
Data review is a dedicated phase before any build — we assess data quality, volume, and risk upfront, and add monitoring and cost controls at the productionize stage so nothing ships without guardrails.
Portfolio
End-to-end ERP for a 500-employee manufacturer — from spreadsheets to real-time visibility.
Bangladesh's first structured doctor-appointment platform — from chaos to 10,000 bookings in 90 days.
Multi-tenant HR platform built for Bangladeshi SMEs — 120 companies, 98.5% payroll accuracy.