Generative AI, agents, computer vision and voice AI - designed, built and run by one engineering team, since 2018.
Pick a layer to see where we have shipped it.
GenAI products built on your own data, like the competitor-analysis system BIBA uses to track pricing, assortment and positioning.
Read the BIBA case studyAgents that plan and carry out multi-step work, with guardrails, memory and a human checkpoint before anything costly. Stack Browser, our own product, runs them in the browser.
See Stack BrowserVision pipelines trained on your data, running at the edge or in the cloud, and monitored for drift once they are live.
How we build vision systemsLow-latency voice agents and grounded chatbots, with guardrails and a hand-off to a person when it matters. Buddy, the assistant on this site, is one of our chatbots.
Describe a workflow and an agent plans it in front of you: the steps it would take, the tools it would call, and what you would have at the end. It is the same plan, tools and outcome thinking we bring to every agentic build.
We are an engineering team that ships AI into production - not a demo shop, and not a body shop.
The steps it would take
What it would call on
What you would have at the end
End-to-end AI engineering - from the agents and vision systems on top to the data plumbing and dashboards underneath.
AI on top
What your users and teams talk to
Autonomous, tool-using AI agents that reason, plan, and execute multi-step workflows - with guardrails, memory, and human-in-the-loop checkpoints.
Learn moreReal-time voice agents and RAG-grounded chatbots - with persona, tone, evaluation, and the guardrails to ship into customer-facing production safely.
Learn moreProduction vision pipelines - medical imaging, quality QA, retail analytics - trained on your data, deployed at edge or cloud, monitored for drift.
Learn moreData underneath
What it learns from and reports on
Multi-source ingest, transformation orchestration, and warehouse modeling - the data plumbing that turns messy operational data into AI-ready foundations.
Learn moreMicrosoft PowerBI and Fabric implementations, custom analytics, and executive dashboards - the daily-driver tools decision-makers actually open.
Learn moreAgents that work the web the way your team does - signing in to portals, filling forms, pulling data out of pages that have no API - with review checkpoints and a trail of every step they took.
See Stack BrowserPick an industry to see what we solve there and who we shipped it for - with the case study where there is one.
Telehealth, clinical AI, and document automation - clinical-grade systems built to ship past audit, not just past the demo.
HIPAA-compliant telehealth platform
Encrypted video consultations, patient portals, and EHR integration - real clinical sessions every month.
Read the case studySecurity & compliance
Built compliant from the first sprint - we design, build, and document to the standards regulated industries demand, and hand over the evidence to prove it.
PHI handled with encryption, role-based access, and full audit trails - the way our HIPAA-certified telehealth build runs in production.
Healthcare
Security practices instrumented from the first sprint, with evidence packs prepared for audit readiness.
Security
Privacy-by-design data handling for products serving European users - consent, retention, and erasure planned at design time.
Privacy
Information-security management aligned to ISO 27001 controls when the engagement demands it.
Global
Most teams have three or four spots in their week where AI can do half the work. These are the four we find most often - and there is a tool at the end of them for the ones we haven't listed.
Someone on your team is still typing data from PDFs, invoices, forms, and emails into spreadsheets and systems - every day, every week.
AI reads the documents, pulls the right fields, and routes them into the systems you already use. Your team only steps in when something genuinely needs a human call.
70% less manual entry · from Document-automation pipelines
Whether it's customers or your own team - the same handful of questions get asked again and again, eating real hours from people who should be doing higher-value work.
An AI assistant trained on your knowledge handles the routine asks 24/7, and escalates the rest with the full context already attached for whoever picks it up.
~60% of tickets deflected · from Knowledge-grounded support assistants
Every Friday or month-end, someone copy-pastes from spreadsheets, formats the charts, and writes the same kind of summary - for a meeting that's mostly looking at last week's number.
PowerBI / Fabric dashboards that update themselves, with AI-written summaries of what actually changed and what to look at first. The 'what to do about it' narrative comes free.
Hours → minutes · from PowerBI / Fabric reporting builds (e.g. Khaitan Education)
Job descriptions, proposals, contracts, sales follow-ups, marketing copy - your team writes the same shapes of document over and over, starting from a blank page each time.
AI drafts the first version trained on your tone, your previous drafts, and your guardrails. Your people stop writing and start editing.
~80% off first-draft time · from Content-drafting assistants on client tone
Figures are representative outcomes from past engagements and will vary with your data, scope, and starting point.
None of these four? Describe your team and we'll look at yours.
You've got the use case and the buy-in - what you need is someone who's shipped this kind of thing before. We scope tightly, choose the right model and architecture, and put something working in your hands fast.
It has to survive 10× the traffic, with audit trails, with costs you can forecast, and without waking anyone at 2 a.m. We turn fragile pilots into production systems.
You don't need a new product - you need AI features inside the one you already ship. We integrate against your stack, respect the existing UX, and instrument the feature so you can prove ROI to the board.
The demo glowed. Then six months happened. We pick up stalled builds and get them across the line, diagnosing what is actually blocking rather than the symptoms, and fixing it in the order that ships.
Active R&D into the AI capabilities our clients will need next - wearable AI on Meta Glasses and Apple Vision Pro, edge inference, and multimodal agents.
Explore our researchBuilding on Meta Glasses and Apple Vision Pro - ambient, on-device AI for spatial computing and always-on context.
Sub-50ms model serving on constrained hardware, quantized and distilled for the edge.
Agents that see, hear, and act across tools and modalities - beyond chat.
Share a few lines about what you're working on and we'll route it to the right person - usually within one business day.
