Our services

Custom AI & machine learning, end to end.

From strategy and prototyping to production deployment and ongoing optimization, we build AI solutions tailored to your business.

Custom Machine Learning Models

Off-the-shelf tools rarely fit the way your business actually works. We design and train machine learning models around your data, your constraints and the outcome you care about, then prove their value with clear, honest evaluation.

What we deliver

Data audit, cleaning and feature engineering
Model selection, training and hyperparameter tuning
Evaluation reports with business-relevant metrics
Bias and robustness testing
Model cards and full technical documentation

Typical use cases

Customer churn and lifetime-value prediction
Fraud and anomaly detection
Lead and risk scoring
Personalized recommendation engines

Generative AI & LLM Applications

Large language models are powerful, but only when they are grounded in accurate information and wrapped in the right safeguards. We build generative AI applications that answer from your data, respect your permissions and behave predictably in production.

What we deliver

Retrieval-augmented generation (RAG) over your documents
Model fine-tuning and prompt engineering
AI agents that take actions through your tools and APIs
Guardrails, content filtering and access controls
Automated evaluation and quality monitoring

Typical use cases

Internal knowledge assistants
Customer support copilots
Document drafting and summarization
Multi-step workflow automation

Computer Vision

From the factory floor to the storefront, cameras capture valuable information that usually goes unused. We build computer vision systems that turn images and video into reliable, real-time decisions, in the cloud or at the edge.

What we deliver

Object detection, segmentation and tracking
Image classification and visual similarity search
Optical character recognition (OCR)
Edge deployment on cameras and embedded devices
Dataset labelling strategy and quality control

Typical use cases

Automated quality and defect inspection
Retail shelf and inventory analytics
Document and form digitization
Workplace safety monitoring

NLP & Document Intelligence

Much of a business's knowledge lives in unstructured text. Our natural language processing solutions read, sort and extract that information automatically, cutting manual data entry and surfacing insights you could not see before.

What we deliver

Text classification and intelligent routing
Named-entity and key-field extraction
Summarization and semantic search
Sentiment and topic analysis
English and French language support

Typical use cases

Invoice, receipt and contract processing
Email and support-ticket triage
Voice-of-customer and review analysis
Compliance and policy document review

Predictive Analytics & Forecasting

Better forecasts mean better decisions about inventory, staffing, pricing and cash flow. We build forecasting and predictive analytics models that are accurate, explainable and connected to your existing reporting.

What we deliver

Time-series forecasting models
Scenario and what-if simulation
Explainable predictions your teams can trust
Integration with BI dashboards and reporting tools
Automated retraining as new data arrives

Typical use cases

Demand and inventory planning
Revenue and cash-flow forecasting
Workforce and capacity planning
Dynamic pricing support

MLOps, Deployment & Integration

A model only creates value once it is running reliably in production. We engineer the infrastructure that deploys, monitors and continuously improves your AI systems, whether on AWS, Azure, Google Cloud or your own servers.

What we deliver

CI/CD pipelines for machine learning
Scalable model-serving APIs
Monitoring, alerting and data-drift detection
Cloud, hybrid or on-premise deployment
Integration with your CRM, ERP and internal tools

Typical use cases

Productionizing an existing prototype
Modernizing legacy ML infrastructure
Reducing inference cost and latency
Adding AI features to existing software

Engagement models

Flexible ways to work together

Start small and scale with confidence. Every engagement has a clear scope, timeline and set of deliverables.

AI Discovery

A short, fixed-scope engagement to identify your highest-value AI opportunities, assess your data and produce a practical roadmap.

Proof of Concept

A focused prototype that tests feasibility and expected value on your real data before you commit to a full build.

Full Build & Deployment

End-to-end design, development, testing and launch of a production AI solution integrated with your systems.

Ongoing Support

Monitoring, retraining, optimization and new features to keep your AI systems accurate and valuable over time.

FAQ

Frequently asked questions

What kinds of projects do you take on?

We specialize in custom AI and machine learning development: predictive models, generative AI and LLM applications, computer vision, natural language processing, forecasting and the MLOps infrastructure to run them in production. If your challenge involves learning from data, we would be happy to discuss it.

How long does a typical project take?

It depends on scope and data readiness. A focused proof of concept usually takes a few weeks, while a full production system typically takes a few months. We provide a clear timeline and milestones before any work begins.

Do we need a lot of data to get started?

Not always. Some problems can be solved with modest datasets, pre-trained models or synthetic data. During discovery we assess the data you have and recommend the most practical path forward, including how to collect better data if needed.

Who owns the models and code you build?

Ownership of deliverables is set out clearly in every project agreement. Our standard approach is that you own the custom models, code and documentation we create specifically for you.

Will you use our data to train models for other clients?

No. Client data is used only to deliver your project, is protected with appropriate security safeguards, and is never used to train models for other clients. See our Responsible AI commitments and Privacy Policy.

Can you work with our existing cloud and systems?

Yes. We work with AWS, Microsoft Azure, Google Cloud and on-premise infrastructure, and integrate with existing databases, CRMs, ERPs and internal applications.

Do you work with clients outside Canada?

Yes. We are headquartered in Toronto and work with clients across Canada and internationally, collaborating remotely and adapting to your time zone where possible.

Ready to put AI to work for your business?

Tell us about the problem you want to solve. We'll respond within one business day with next steps, with no obligation and no sales pressure.

Start a conversation +1 (437) 524-1626