Turning Vision IntoAI-PoweredAI-PoweredSolutions
Trusted by 200+ brands since 2018 to design, build, and ship production-grade .
- Est. 2018
- 200+ clients
- AI-first delivery
Trusted delivery: 8+ years · 250+ shipped products · 30+ countries
Modern AI + product engineering
40+
AI-led engagements
15+
Models shipped
15+
Industries
Built for outcomes sized for IML's long game.
Proof points from eight years of shipping — not vanity metrics on a slide deck.
0+
Happy clients
Across 30+ countries
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Products shipped
End-to-end delivery
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Industry domains
Deep vertical experience
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Years building
Since 2018
AI-native engineeringacross the full stack.
We lead with intelligent systems, then layer product execution across mobile, web, and cloud — scoped in plain language and shipped in weekly demos you can evaluate.
Patterns we shiprepeatedly.
Not demos — production paths with observability, guardrails, and UX that keeps humans in the loop.
Conversational support
LLM-backed assistants that resolve tier‑1 questions and escalate cleanly to humans.
Personalized discovery
Ranking and retrieval tuned to your catalog — fewer dead ends, higher intent matches.
Flagship pattern
Document intelligence
Extract, classify, and route paperwork so teams stop copy‑pasting between systems.
Looking for deeper case studies? View the portfolio.
Vertical solutionswith an AI lens.
Pick a sector to see how we apply product discipline and AI — outcomes and delivery detail on each industry page.
Banking
AI + product lens
Digital banking platforms, fraud detection, and personalized servicing — with compliance and audit trails built in from day one.
What we ship
- Digital banking & portals
- Core system overlays
- Payments & treasury
- Fraud & AML monitoring
- Fraud AI
- Core modernization
- KYC flows
Product stories worth telling.
A snapshot of recent engagements — full case studies live in the portfolio.
AISports Technology
Bet365 | Sports Automation Platform
Bet365 is a real-time sports operations platform that ingests Telegram publisher feeds, parses structured event signals, and executes actions on the Bet365 platform with full auditability.
BackendAutomationBot
Retail & E-commerce
Global Diamond Montreal | Fine Jewelry E-Commerce
Premium jewelry e-commerce for engagement, wedding, and gift collections — live at globaldiamondmontreal.com.
Web ApplicationUI UX DesignE-commerce
Finance
Capium 365 | Business Accounting App
SMB accounting workspace for invoices, expenses, and reporting.
Mobile AppUI UX Design
Production stacksfrom models to metal.
AI, web, mobile, data, and cloud — the stacks we use on client programs, chosen for reliability in production rather than slide-deck novelty.
AI technologies
LLMs, vision, NLP, and ML pipelines
OpenAI
Core in our delivery mix
Anthropic
Core in our delivery mix
Google Gemini
Meta Llama
Mistral
LangChain
TensorFlow
PyTorch
Hugging Face
OpenCV
Google Vertex AI
IBM Watson
n8n
FastAPI
Scikit-learn
Keras
Pinecone
How we buildAI-powered applications.
A scalable, future-ready delivery process refined across 250+ software and AI projects — transparent demos, named owners, and production paths you can operate since 2018.
Full methodology- 1
Step 01
Discover
We map goals, data realities, and constraints — then pinpoint where models or automation earn their keep.
- Stakeholder workshops, data audits, and feasibility on the use cases that matter
- Risk, compliance, and integration constraints captured before architecture
- Success metrics and evaluation criteria agreed up front
Discovery briefData & integration mapPrioritized backlog - 2
Step 02
Strategize
We choose stacks, evaluation metrics, and release slices so scope, risk, and ROI stay aligned.
- Model and platform choices tied to your KPIs — not vendor hype
- Phased roadmap with clear go / no-go gates between slices
- Security, cost, and observability designed in from the plan
Technical strategyArchitecture outlineRelease plan - 3
Step 03
Build
We integrate models, UX, and infra with weekly checkpoints — you always see working software, not promises.
- Weekly demos on staging with real data paths where possible
- CI/CD, eval harnesses, and guardrails for AI features in parallel with product UX
- Named tech lead and PM — single thread for decisions and scope
Working incrementsEval & QA reportsRelease candidates - 4
Step 04
Deploy & optimize
We launch, monitor drift and quality, and iterate as usage grows — post-release partnership, not handoff.
- Production rollout with runbooks, monitoring, and on-call alignment
- Drift, latency, and quality tracked against agreed thresholds
- Iteration sprints as usage and feedback sharpen the product
Production launchOps dashboardsImprovement backlog
Hear it from teamswe've shipped with.
14 stories. Start with a clip — select a story below, or open Watch Story for the full video.
Client
Ripe
“They nailed the design and outcome of our startup app — and we’re confident taking it further with their team long term.”
Awards & Achievements
Clutch-rated delivery, repeat clients, and programs that compound — not one-off launches.
Clutch Review
4.9
Clients So Far
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Solutions Delivered
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Domain Worked
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Notes from thebuild floor.
Our full library of articles lives on the main Ingenious Minds Lab blog — jump there for the latest posts.
Frequently Asked Questions.
Since 2018 we’ve shipped 250+ products for clients in 30+ countries. You get one partner for strategy, design, engineering, and AI integration — with offshore rates and senior oversight on every sprint.
LLM integration, retrieval and agents, chatbots, document intelligence, recommendations, predictive models, and the web or mobile surfaces that wrap them — including evaluation, guardrails, and observability.
Choose staff augmentation, a managed squad, or fixed-scope delivery. Share your stack and goals; we shortlist vetted engineers, usually within a few days, who join your rituals, repos, and roadmap.
React, Next.js, Node.js, Python, Laravel, Flutter, React Native, Swift, Kotlin, plus LangChain, PyTorch, OpenAI, Anthropic, and common vector and cloud tooling.
Every engagement includes code review, QA, and demo-ready increments. We agree on Definition of Done up front, track burndown openly, and flag risks early instead of at the deadline.
eCommerce, healthcare, fitness, food delivery, real estate, travel, sports, social, and more — fifteen domains where we’ve already solved compliance, scale, and UX patterns.
Rates depend on seniority and stack. We quote transparently after a short brief — hourly for augmentation, monthly for squads, or fixed price when scope is well defined.
Yes. Mutual NDAs are standard, and our agreements assign all work product and IP to you once invoices are settled.
Least-privilege access, encrypted transit and storage, segregated environments, and processes aligned with common compliance expectations. We’ll map controls to your policy during onboarding.
We often start with a time-boxed pilot or prototype sprint so you can judge fit, velocity, and communication before scaling the engagement.
No. We support funded startups, scale-ups, and global enterprises — adjusting team size, ceremony, and documentation to your stage.
Email [email protected] or book a discovery call. We’ll reply with next steps and, when it fits, a lean scope for an initial build slice.
Turn your roadmap into living AI products.
Tell us what you want to launch — we’ll outline a practical path from first prototype to production, with milestones you can track and no forced long-term contract.
Response time
Under 1 business day
Confidentiality
NDAs on request
First prototype
Often within a week