Custom LLM Applications
GPT-4, Claude and open-source LLMs integrated into your product — RAG pipelines, fine-tuning, prompt engineering and production deployment at scale.
OpenAILangChainPinecone
AI & Machine LearningAI Development
AI Development
That Moves Your Business Forward.
An AI development company in Canada building custom AI models, LLM-powered products and intelligent automation — engineered for production, not demos.
50+
AI Products Shipped
2M+
Daily Predictions
<100ms
Inference
Fixed scope, fixed price
A number before we write code
Your IP from day one
Full ownership on final payment
Senior engineers only
No juniors on your budget
Reply within 1 working day
From an engineer, not a bot
Get Your Custom Project Plan
Share your project details — a senior engineer responds within one working day.
🔒NDA Protected
⚡24hr Response
💬Free Consultation
Every Layer. Every Complexity.
Everything AI & Machine Learning needs, engineered by one accountable team.
ML Model Development
End-to-end ML pipelines — from data prep and feature engineering to model training, evaluation and serving at scale with full monitoring in production.
PythonTensorFlowPyTorch
Computer Vision
Object detection, image classification, OCR and real-time video analysis for any industry.
NLP & Text Analytics
Sentiment analysis, entity extraction, document understanding and semantic search pipelines.
AI Automation
Intelligent workflow automation that eliminates manual tasks and scales with your operations.
Data Engineering
Data pipelines, feature stores and warehouse architectures that feed reliable models.
Explore AI & Machine Learning in detail
How we deliver your AI & Machine Learning project
Fixed milestones, working software every fortnight, and no surprises on the invoice.
- 01
Data Audit
1–2 weeksWe assess your existing data assets, identify gaps, and define the data strategy needed to build a model that actually performs in production.
Data InventoryQuality ReportGap AnalysisData Roadmap - 02
Model Design
1–2 weeksArchitecture selection, problem framing, and baseline benchmarking — choosing the right approach before committing to full training.
Architecture DocBaseline BenchmarksFeature PlanEvaluation Criteria - 03
Training
2–6 weeksIterative model training with full experiment tracking, hyperparameter tuning, and version control on every run.
Trained ModelsExperiment LogsTuning ReportVersion Registry - 04
Evaluation
1–2 weeksRigorous evaluation across accuracy, latency, fairness and robustness metrics. Red-teaming for LLM applications before any production exposure.
Eval ReportBias AuditLatency ProfileRed-Team Results - 05
Deployment
OngoingContainerised model serving, A/B testing infrastructure, real-time monitoring dashboards and drift detection to keep your model accurate over time.
Production APIA/B FrameworkMonitoring DashboardDrift Alerts
Work we have shipped
Accountable partners, not outsourced vendors
How we price, who we staff and what happens after launch — the parts that decide whether a project actually lands.
Fixed scope, fixed price
You know the cost and the timeline before a line of code is written. No hourly billing, no scope-creep surprises.
You own everything
Full source code, credentials and intellectual property transfer to you on final payment. We sign the IP assignment on day one.
Senior engineers only
Every project is staffed by engineers with years of production experience — no juniors learning on your budget.
Canadian data residency
Built for PIPEDA and provincial privacy law, with data kept on Canadian infrastructure where it matters.
8-week MVP programme
A focused, fixed-price path from idea to a launched product, refined across dozens of startup engagements.
Support after launch
Tiered SLAs from monitoring and bug fixes to a dedicated team with 24/7 response. Most clients stay for years.
The stack behind your platform
Chosen per project for what it has to do, not for what is fashionable.
Models
GPT-4ClaudeLlamaMistralGeminiFrameworks
TensorFlowPyTorchLangChainScikit-learnInfrastructure
AWS SageMakerGoogle Vertex AIAzure MLKubernetesData
PineconeWeaviatePostgreSQLSparkAirflow
AI & Machine Learning across every sector
What clients say
“Mapletech Labs rebuilt our trading infrastructure from scratch. Went from 100ms latency to sub-50ms, processing 75K transactions daily with zero data loss. Their engineering is meticulous.”
Jessica Chen
VP Engineering, Axion Capital · Toronto
75K+
daily transactions
“They built our patient management system with HIPAA compliance baked in from day one. Reduced our admin overhead by 40% and our patients actually use it. Worth every penny.”
Dr. Ravinder Patel
Chief Medical Officer, ClinicFlow Health · Vancouver
40%
less admin overhead
Recognition
Independent awards and partner tiers, each one earned on delivered work.
Top Generative AI Company
Top App Development Company
Webby Honoree
Best App Award, Personal Growth
Advanced Tier Services Partner
Top 100 North America
Compliance
Regulation is a design constraint here, accounted for from the first architectural decision rather than audited in at the end.
Privacy
Personal data handled to the letter of Canadian and international law.
PIPEDAGDPRHIPAACCPA
Security
Threat modelling, least-privilege access and audited controls.
SOC 2 Type IIISO 27001Zero trust
AI governance
Model evaluation, human oversight and an audit trail.
ISO 42001AIDA-readyModel cards
Sector
The regulations your industry answers to, designed in from day one.
PCI DSSHL7 / FHIROSFI
Cloud
Regional residency, encryption in transit and at rest, tenant isolation.
Canadian data residencyAWS Well-Architected
Accessibility
Built and tested so the people who need it can actually use it.
WCAG 2.2 AAAODA
Insights
From the
Engineering Desk.
Frequently asked questions
If your question is not here, a senior engineer will answer it within one working day.
Ask our teamA focused MVP typically takes 8–12 weeks. A full-featured product is 16–24 weeks. Every project starts with a scoping session where we give you a precise timeline with fixed milestones.
We work on a fixed-scope, fixed-price model. No hourly billing, no scope-creep surprises. You know exactly what you are getting and what it costs before we write a line of code.
Both. We have a Rapid Launch programme for early-stage startups (8 weeks, fixed price) and dedicated enterprise teams for complex multi-year engagements.
You do — 100%. Full source code, all intellectual property and credentials transfer to you on final payment. We sign an IP assignment agreement on day one.
Yes. Tiered SLAs from Essential (bug fixes and monitoring) to Scale (a dedicated engineering team with 24/7 response). Most clients stay with us long after launch.
Absolutely. We regularly augment internal teams, do code reviews, architect complex systems and fill specialist gaps — a full partner or an extension of your team.
Let’s build something worth keeping.
Tell us what you are trying to build. A senior engineer will come back within one working day with a scope, a timeline and a fixed price.