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Yantra · AI studio front desk · Toronto

Your software becomes intelligence

Your web, desktop, and mobile products, rebuilt around AI: UX-led and human-in-the-loop, so the busywork disappears. Not a chatbot bolted on.

Web · Desktop · Mobile Human-in-the-loop AI Your data stays yours
0 wk To your first AI win
0% Less time on busywork
0x Faster workflows shipped
0% Human + AI, by design
AI Copilots RAG Pipelines Agentic Workflows Generative UI On-device AI Voice & Vision Design Systems Evals & Guardrails Legacy Modernization Human-in-the-loop AI Product Strategy LLM Integration

The Yantrax principle

We don’t bolt AI on. We re-engineer the experience around it, step by step.

Most “AI” products just staple a chatbot onto the same busy interface. AI only becomes truly impactful at the intersection of product thinking, UX/UI craft and intelligence. So the experience gets rethought until the work itself disappears: fewer clicks, clearer intent, real outcomes. Your first win lands without a rewrite, proves its value in weeks, then goes deeper. You keep your software. It learns to think.

The typical IT shop
The Yantrax way
Bolt a chatbot in the corner and call it “AI-powered”.
Redesign the flow so the AI removes the step entirely.
More features, more tabs, more screens to learn.
Fewer screens, one clear intent, the busywork disappears.
AI bolted on as a feature, UX left untouched.
AI as the experience, UX-led, with humans in the loop.
Ship a demo, hope it sticks.
Ship with evals, guardrails & measurable productivity gains.

AI capability × great UX = productivity.

AI capability without UX is just an impressive demo. The same capability, engineered into a calm interface, is a tool people use every day.

The Yantrax difference

From busy to brilliant

Drag the slider on each demo. Same job, re-imagined: fewer pixels, more outcomes.

01

Data entry, in one sentence

A 12-field ERP form becomes a single instruction.

Copilot
"Raise a PO for 50 Dell laptops, standard terms, need by Friday."

Copilot drafted · review and confirm

Vendor
Dell · Net 30
Qty / Item
50 × Latitude 5550
Total
$62,500 incl. HST
Approver
Auto-routed to Finance
Confirm 10 fields filled in 1 line
Manual ERP
Create Purchase Order Step 2 of 5
HeaderDetailsLinesTaxApprovals
ItemQtyUnitAmount Latitude 555050$1,250$62,500
Save draft Submit
02

Reports, just ask

Filters and dropdowns become a plain-language question.

Just ask
"Q3 revenue by region vs target"

Revenue vs target · Q3

Weston target
Eastbelow
Centralabove
Northbelow

Generated from one sentence, editable on the fly.

Report builder
Build report
Reset Run report
03

Answers, not file hunts

Searching folders becomes one cited answer.

Ask anything
"What's our refund SLA for enterprise?"

Enterprise refunds are processed within 14 business days of an approved request, per the current MSA.

MSA_Enterprise_2025 · §7.3 Support_SLA_matrix

Answered in 2 seconds · sources you can verify

File hunt
refund SLA enterprise 142 results
  • Refund_Policy_v3_FINAL.pdf which one?
  • Refund_Policy_v3_FINAL_2.pdf v1
  • MSA_Enterprise_2025.docx v2
  • Support_SLA_matrix.xlsx v3
  • Onboarding_notes.md v4
  • Legal_addendum_signed.pdf v5
Open 7 files · Ctrl+F "refund" · copy clause · paste into email

~25 minutes, and you still aren't sure it's current.

Proof

The same software, before and after

Click-heavy legacy products, re-engineered into intelligent ones.

An unsorted grid of forty-one claim photos becoming a structured damage assessment where every line cites the photo it came from, with the coverage clause quoted and one uncertain line flagged.
Professional Services Concept

AI Claim Triage From Photos: First Notice of Loss to a Reviewed Assessment

How a property claims operation turns a folder of unsorted phone photos and a 62-page policy into a structured damage assessment: every line citing the photo it came from, the coverage clause quoted, uncertain lines flagged, and an adjuster approving before anything moves.

32.4 days

Average property claim, filing to finished repairs

A crowded RFQ inbox queueing on the left transforming into a priced, stock-checked quote with one flagged line and a rep approval button.
Wholesale & Distribution Concept

AI Quote Desk for a Wholesale Distributor: RFQ Inbox to Priced Quote in Minutes

How a parts distributor replaces the morning RFQ pile and the three-system price hunt with a copilot that extracts every line item, prices it from the company's own item master and contracts, checks stock, and drafts the reply, with a rep approving every quote before it leaves.

60-70%

Share of routine admin work generative AI can absorb

A pile of 300 applications screened by a keyword filter that drops good candidates with no reason recorded, next to the same pile summarized and ranked against the real criteria with a recruiter approving each advance and nobody auto-rejected.
Staffing & Recruiting Concept

AI Screening for a Recruiting Team: Read Every Application, Auto-Reject No One

How a staffing team buried in applications gets an AI screen that reads and ranks every candidate against the real job criteria, surfaces the people a keyword filter would miss, and logs every decision, while a recruiter advances or declines each one and nothing is rejected automatically.

~11,000/min

Client feedback

What people say

Real feedback from people we've worked with, not stock quotes.

I've had the privilege of working with Kishan for about a year and a half. In that time he redesigned a massively complex problem with the user's perspective in mind. His professionalism and eye for detail makes him a terrific asset to any team. Within the year and a half that I worked with him, he designed the UI/UX for a learning management system, two different form builders, and various other screens to make the product at Variable successful.

RC Rick Caudill

Rick Caudill

CTO, Variable

Kishan is a passionate and thorough product designer. His ambition to always dive deeper and seek improvement was a real value to our org!

BG Brandon Gutierrez

Brandon Gutierrez

Founder, BotStacks

Services

Every kind of software, re-engineered for AI

The software you already understand becomes an intelligent product your users love.

Workforce Copilots

Repetitive screen work gets done in a sentence instead of an afternoon: copilots embedded in the tools your team already uses.

Manual, repetitive screen work Copilots that draft, decide, and act with your team

Autonomous Workflow Agents

A process runs from trigger to done on its own, and your people step in only at the moments that genuinely need judgment.

Work lost across tools, tabs, and inboxes Agents that run multi-step processes end to end

Document & Knowledge Intelligence

Your scattered documents and tribal knowledge become an assistant that answers in seconds, with citations your team can trust.

Answers buried in files, wikis, and spreadsheets Ask-anything assistants grounded in your data

Generative & Conversational Interfaces

Dense menus and filters become interfaces that understand intent: the view, the document, or the result, generated on demand.

Forms, filters, and endless clicks Say what you need and the product builds it

AI Product & UX Engineering

The craft that makes AI usable: discovery, UX, and design systems that turn raw model power into a calm, trustworthy product.

Flashy demos that never get adopted Minimalist, trusted products people actually use

Legacy Modernization

Your aging codebase becomes a clean, AI-ready foundation: AI-accelerated migration with tests that lock in today’s behavior, so brittle legacy software is finally safe to change.

Aging code that’s risky and costly to change A modern, AI-ready foundation you can build on

The process

A clear path from idea to intelligence

Mature delivery, revolutionary outcomes. Four steps, fully collaborative, humans in the loop throughout.

  1. 01

    Discover

    We map your product, users and the busywork that drains them, then pinpoint where AI creates the biggest lift.

  2. 02

    Design

    UX-led prototypes of the AI-native experience, with trust, control and transparency designed in from day one.

  3. 03

    Build

    We ship production-grade Human + AI workflows, agents, copilots and generative interfaces, integrated with your systems.

  4. 04

    Evolve

    Evals, metrics and iteration loops keep the product improving, with an eye on what is coming next.

The promises behind every step

Start low-cost, high-impact

The first win is the one that pays back fastest, proven in weeks. Then the ladder gets climbed rung by rung. No risky big-bang rewrite.

Human + AI, you stay in control

AI does the busywork while your people keep oversight. Every step is human-in-the-loop, with guardrails and reversible by design.

Your data stays yours

Your data never leaves your environment without your permission, and every build keeps it that way.

Insights

Thinking from the Yantrax lab

Field notes on AI product design, Human + AI workflows, and shipping AI people actually adopt.

A phone photo of a cracked machine bracket on the left, and on the right the structured facts read out of it: part, condition, severity, and one low-confidence field flagged for a person to confirm.
AI ProductWorkflow

When Your AI Should Look, Not Just Read: A Practical Guide to Multimodal at Work

Most business AI reads text, but a lot of what your business actually knows arrives as pixels: damage photos, whiteboards, scanned forms, screenshots. A short quiz sorts your workflow into the three honest tiers, and the failure modes of vision are not the ones you are watching for.

Read article
A software box with its old workflow-automation label crossed out and a shiny AI AGENT sticker slapped on, while an inspection panel reveals the same fixed if-then rules inside.

Agent Washing: How to Tell a Real AI Agent From an Automation With a New Sticker

Every product renamed itself an agent this year, and the word stopped carrying information. A five-scenario quiz trains your eye, and five procurement questions expose what a vendor actually built, because the label decides the price, the failure modes, and the oversight you owe it.

Read article
A dial with three zones: automate it on the left for low-stakes reversible rules, put a copilot on it in the middle where AI drafts and a person approves, and keep the decision human on the right where stakes are high and the action is hard to undo.
Decision MakingTrust

What You Should Refuse to Automate

The hype says automate everything. The discipline is knowing where the line goes. A task belongs to a person, not a model, when it is hard to undo, needs real judgment, or puts money, health, a job, or safety at stake. Grade any task on those three axes here, and see where the boundary actually falls.

Read article

FAQ

Questions, answered

Still curious? Talk to us.

What does Yantrax Labs do? +

Yantrax Labs is the Toronto-based AI product transformation studio of founder Kishan Thankey. Existing websites, desktop apps, and mobile apps get re-engineered, and new products built, into minimalist, intelligent Human + AI workflow experiences that boost productivity.

Can you convert my existing software into an intelligent product? +

Yes. Transformation is the core of the practice. We modernize web, desktop, and mobile software into AI-native products with copilots, agents, and generative interfaces, without unnecessary rewrites, and with humans kept in the loop where it matters.

Where is Yantrax Labs based? +

Yantrax Labs is based in Toronto, Canada, and works with clients worldwide.

What is a Human + AI workflow? +

A Human + AI workflow is a process where people and AI agents hand off seamlessly, AI automates the busywork while humans retain oversight, control, and final decisions through clear guardrails.

Can you modernize our legacy or aging software? +

Yes. We modernize aging codebases (old PHP, C/C++, legacy .NET or Java) with AI-accelerated migration and tests that lock in current behavior, turning brittle software into a clean, AI-ready foundation, without a risky big-bang rewrite.

Where does our data go? Is it safe? +

Your data stays yours. It never leaves your environment without your permission. Every solution runs against your own systems and data, with grounding, guardrails, and clear access controls, so intelligence gets added without giving your data away.

Free guide

Where AI saves you hours

The 14 work surfaces inside almost any business software, and what each becomes with AI. A practical map for spotting your own quick wins.

  • All 14 work surfaces, today vs with AI
  • The impact and cost map for where to start
  • The 5-step ladder from busy to intelligent

You get the occasional post by email too. Your data stays yours, never shared or sold.

See where AI saves you the most

A free, no-obligation consult. We map one low-cost, high-impact win for your software, and your data stays yours.

We design and build every engagement ourselves. No juniors, no handoffs.

Free, no obligation Your data stays yours Reply within 1 business day