AI isn’t one-size-fits-all — and neither are your problems. CVM builds a wide range of models to meet the specific needs of your business. Some common use cases include:

• Forecasting – Anticipate sales, demand, or risk using time series and predictive models
• Recommendation systems – Drive engagement and conversion with personalized product or content suggestions
• Classification & scoring – Categorize documents, assess applications, flag anomalies, or triage tickets automatically
• Natural language processing (NLP) – Extract insights from unstructured text, classify intent, summarize reports, or generate content
• Large language models (LLMs) – Build domain-specific copilots, chatbots, or internal agents powered by LLMs and retrieval-augmented generation (RAG)
• AI agents & automation – Automate high-touch or high-volume workflows with intelligent agents that combine LLMs, retrieval systems, and custom logic
• Computer vision – Analyze images or video for quality control, visual search, defect detection, or biometric signals
• Optimization models – Automate scheduling, logistics, pricing, or resource allocation
• Custom scoring and ranking – Prioritize leads, job candidates, claims, or other high-volume decisions
• Hybrid systems – Combine rule-based logic, machine learning, and human-in-the-loop design to automate complex workflows

If you’re not sure exactly what kind of model you need — or whether AI is the right fit — we’ll help you evaluate the options and make a smart call.

We take a practical, phased approach to AI model development — helping you move from idea to production with speed, clarity, and confidence. Each phase is designed to deliver tangible progress and reduce uncertainty.

We’re happy to guide you through the full journey — but we don’t insist on it. Some clients bring us in just to validate an idea or build a prototype, then take it from there with their internal team. Others rely on us all the way through to production and beyond. Wherever you need us, that’s where we plug in.

1. Idea to Demo

Every project starts with an idea — and we believe in testing ideas quickly. Our Idea to Demo in 2 Weeks offering helps you validate a use case, align stakeholders, and explore feasibility with a working prototype. It's the fastest way to go from concept to something real.

2. Demo to Prototype

If the demo proves promising, we move into deeper development: refining requirements, expanding functionality, improving performance, and building out the core architecture. This phase often includes experimentation, model tuning, and deeper integration with your data. The goal: a robust, reusable prototype that’s ready to scale.

3. Prototype to Production

We harden the solution for real-world use: optimizing for performance, reliability, and integration. This includes testing against edge cases, adding monitoring and alerting, and embedding the model into your production systems or workflows. We don’t just build models — we deploy systems that work in your environment.

4. Ongoing Improvement

AI isn’t static — models drift, businesses evolve, and new opportunities emerge. We provide support for ongoing monitoring, retraining, and enhancement. Whether it's periodic updates or continuous learning pipelines, we help your AI stay aligned with your goals. Our work doesn’t end at launch — we help you get long-term value.

We’re not a generic AI vendor — we’re a trusted partner for organizations that want to move fast and get it right. Our clients choose us because:

• We speak both business and engineering – Our team brings experience across data science, product development, and consulting, enabling us to turn complex ideas into clear, actionable solutions.
• We don’t disappear behind the scenes – You work directly with the people building the model, not a project manager relaying updates.
• We’re fast, but thoughtful – We move quickly without sacrificing rigor, because we know speed matters — but quality matters more.
• We’ve seen what works (and what doesn’t) – Since 2017, we’ve delivered dozens of successful projects — and bring hard-won lessons from the field to every engagement.
• We build trust through transparency – No hand-waving, no black boxes. Just honest, collaborative work focused on results.

Whether you’re starting from scratch or scaling up an existing initiative, CVM brings the experience, agility, and depth to make AI work for you.

We take data security seriously — and back it up with real controls, not just good intentions.

CVM is SOC 2 Type 2 compliant, with security practices audited annually across access controls, data handling, infrastructure, and organizational processes. We’re happy to provide our most recent Type 2 audit report upon request.

We follow strict protocols around data access, storage, and transfer — and design our solutions with your internal security and compliance needs in mind. Whether we’re working with sensitive customer data or internal documents, you can trust that your information is in good hands.

We work across a wide range of tools, frameworks, and cloud platforms — and we don’t play favourites. Whether you're deep in the AWS ecosystem, running on Azure, or building with open source tools, we’ll adapt to what works best for your team.

We have experience with:

• Cloud platforms – AWS, Azure, GCP, Snowflake
• Modeling frameworks – PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, Hugging Face
• LLM ecosystems – OpenAI, Azure OpenAI, open-weight models, LangChain, RAG, vector databases
• Data tools – dbt, Airflow, Spark, pandas, SQL
• MLOps & deployment – Docker, FastAPI, MLflow, Streamlit, CI/CD pipelines
• Visualization & reporting – Tableau, Power BI, Metabase, Looker, Streamlit

We work on a fixed-cost basis, so you know exactly what you’re getting — and what it will cost — before the project begins.

Every engagement is scoped to fit your goals, timeline, and budget. We’ll work with you to define a clear scope of work, and then deliver it for a flat, transparent fee — with no hidden costs or surprise overages.

This pricing model keeps everyone aligned and focused on outcomes. It also makes it easier for you to plan, get approval, and move forward with confidence.