Real Data Problems.Real AI Solutions.
We don't sell off-the-shelf AI. We listen to your business logic, understand your data, and engineer intelligent systems purpose-built for your exact problem — automation and AI that actually moves the needle.
Fixed-scope pilots · No surprise retainers · Source code yours
Trusted by teams shipping in production
Data Everywhere. Value Nowhere.
Most organizations sit on a goldmine of data but lack the systems to act on it. These are the patterns we see every time.
Manual Operational Workflows
01Repetitive tasks drain resources that intelligent automation could handle in seconds.
Poor Forecasting & Planning
02Decisions made on gut instinct instead of data-driven intelligence lead to missed opportunities.
Underutilized Business Data
03Valuable datasets sit dormant without systems to extract actionable insights from them.
Fragmented Information Systems
04Disconnected tools and data sources prevent unified intelligence across the organization.
Tailored to Your Business Logic
No templates, no generic stacks. Every engagement starts with your problem — these are the categories of solutions we most often engineer.
Intelligent Automation
Systems that remove the manual from your operations — handling documents, workflows, and communications with AI agents that work around the clock.
- Document processing & extraction pipelines
- Workflow orchestration agents
- Automated reporting & communication
Predictive Intelligence
Forecasting systems that turn your historical data into forward-looking decisions — reducing guesswork and putting real numbers behind your planning.
- Demand & supply forecasting models
- Capacity planning & resource optimization
- Anomaly detection & early-warning systems
Custom AI Systems
End-to-end design and deployment of intelligent systems built exactly for your use case — no generic products, no off-the-shelf solutions.
- RAG & semantic search platforms
- Custom AI APIs & decision engines
- Data pipelines & integration layers
From Problem to Production
Every engagement follows the same disciplined approach — understand first, then engineer the right solution.
2-Week Data Audit
Our signature step. We tell you in 2 weeks whether your data actually supports the AI you want — before any build commits. Bad fit gets killed early.
Design
Architect the solution — data pipelines, model selection, integration points, and measurable success criteria.
Build
Iterative development with constant feedback. We ship working systems every sprint — not slide decks.
Ship
Production deployment with monitoring, documentation, and full knowledge transfer to your team.
2-Week Data Audit
01Our signature step. We tell you in 2 weeks whether your data actually supports the AI you want — before any build commits. Bad fit gets killed early.
Design
02Architect the solution — data pipelines, model selection, integration points, and measurable success criteria.
Build
03Iterative development with constant feedback. We ship working systems every sprint — not slide decks.
Ship
04Production deployment with monitoring, documentation, and full knowledge transfer to your team.
Build AI Agents That Do Real Work.
Atelier is our platform for building AI agents that use your data and tools, plug into your app, and run automatically — without building all that plumbing yourself.
Any model, real tools, and memory that sticks — wired into your product in a few lines of code. Ship a single assistant or a team of agents that stream answers, react to events, and run on their own.
Any model, your call
Pick the brain — Google Gemini, OpenAI GPT, or Anthropic Claude. Tell it the job. Done.
Real hands, not just chat
Agents query your database, read PDFs, send email and Slack, write and run code, and build charts.
Reacts to your app
A new order, a finished task — your app fires one event and the right agent runs itself.
Runs on a schedule
“Every morning at 9, summarize yesterday's sales.” Runs on its own — no clicking.
Teams of agents
A lead agent splits a big job across specialists, then merges the result. Built by drag-and-drop.
It remembers
Keeps past chats and facts about each user — role, preferences — so it never asks twice.
Drops into your product
Copy a few lines of code and your app streams live AI answers — files, approvals and all. No rewrite.
Safe, scoped & costed
Isolated workspaces, role permissions, encrypted keys, read-only data — every run's tokens and cost tracked.
Companies We've Delivered For.
Beyond our own platform, we build production systems for real organizations — each starting with a unique challenge, each shipped as a production-grade solution.
Intelligent Talent Acquisition Platform
End-to-end pipeline combining enriched query embeddings, intelligent filtering, and controlled LLM reranking — delivering precise, cost-efficient, and explainable candidate recommendations.
DocuMatch KYC
Automates validation between submitted forms and official documents — ensuring data consistency, reducing manual verification effort, and improving KYC accuracy for financial institutions.
“They mapped our hiring workflow before writing a line of code. The matching system fit our team instead of forcing us to fit it.”
Equipment Intelligence System
Automated maintenance and work order platform with AI-based monitoring, real-time field updates, and performance dashboards. Reduces equipment breakdowns, controls maintenance costs, and surfaces predictive insights for operational efficiency.
“Field updates that used to take days now land in minutes. The dashboards finally tell us what's going to break — before it breaks.”
Who We Work With & Who We Are
Industries We Build For
Domains where our problem-first approach fits — each with its own data challenges, each solved from scratch.
Binayak Koirala
“Most AI projects fail not because of bad technology — but because nobody took the time to understand the actual problem. That's what we do first.”
Astracogent exists to turn AI into real-world impact. Binayak approaches every project by first understanding the client's workflow, constraints, and decision points — not just the data. With experience in data science and production systems, he designs solutions that fit naturally into operations, solving the right problems instead of just building complex models.
The Astracogent Difference
We're not another AI vendor with a packaged product. We're engineers who sit down with your team, understand the real problem, and build the right solution from scratch.
Problem-First, Always
No fixed architecture, no cookie-cutter stack. We start by deeply understanding your data, your operations, and your business logic — then design the system that fits, not the other way around.
Production-Grade Systems
We don't demo prototypes. Every system we ship runs in real business operations — reliable, scalable, and built to hold up under the demands of daily use across your organization.
Outcomes Over Output
We measure success by your results — hours automated, forecasts improved, decisions accelerated. Our work is tied to real operational metrics, not deliverables on a slide.
Questions Buyers Always Ask.
The honest answers — before you spend 30 minutes on a call to find them out.
Most pilots ship to production in 6–10 weeks. We start with a 2-week discovery to validate the problem and data, then move into focused build sprints with weekly demos.
Have a Data Problem?
Let's Solve It.
Tell us about your operations, your data, and your challenges. We'll figure out the right system to build — together.