GenAI Consulting builds enterprise-grade AI products and delivers Databricks & Snowflake data platform consulting for organisations that demand precision, performance, and lasting competitive advantage.
We are certified partners with the world's leading data and AI platforms — delivering implementations that are built to the highest standards, backed by direct vendor relationships.
We architect and implement the Databricks Lakehouse Platform for enterprises — unifying data engineering, streaming analytics, ML, and governance on a single, open platform. From Delta Lake design to MLflow production pipelines, we deliver the full Databricks stack with precision.
We design and scale enterprise data clouds on Snowflake — from data vault modelling and zero-copy cloning strategies to Snowpark ML and data sharing marketplaces. Our team handles the architectural complexity so your data teams can focus on insight, not infrastructure.
We embed senior data engineers, AI architects, and analytics leads directly into your organisation — delivering outcomes, not slide decks.
End-to-end design and build of enterprise data platforms on Databricks, Snowflake, AWS, Azure, and GCP. Medallion architecture, data lake design, ingestion pipelines, and governance frameworks built to scale to petabytes.
Production AI systems built on Claude (Anthropic), GPT-4, and open-source LLMs. RAG pipelines, vector databases, fine-tuning workflows, and AI-powered applications that integrate directly with your enterprise data stack.
Transform raw data into strategic advantage. We build semantic layers, executive dashboards, real-time analytics pipelines, and self-serve BI environments using Tableau, Power BI, Looker, and custom React-based analytics.
End-to-end ML lifecycle from feature engineering to production serving. MLflow experiment tracking, model registries, A/B testing infrastructure, and real-time feature stores on Databricks and AWS SageMaker.
Enterprise data strategy, data mesh architecture, Unity Catalog and Snowflake governance frameworks, data quality systems, GDPR/CCPA compliance pipelines, and executive data literacy programmes.
Mission-critical streaming architectures on Apache Kafka, Databricks Structured Streaming, AWS Kinesis, and Azure Event Hubs. Sub-second latency data pipelines for financial services, logistics, and e-commerce.
We don't just consult — we build. Two flagship SaaS products, built in-house, solving real enterprise problems with AI at the core.
AI-powered contract intelligence platform. Upload contracts, get instant extraction of every clause, risk flag, expiry alert, and spend insight — powered by Claude AI and vector search.
AI-powered resume intelligence and ATS platform. Search 100K+ resumes in seconds, rank candidates by skill match, track pipelines, and run JD-to-resume matching — powered by Claude Haiku.
Our engineers are certified and production-proven across every major platform in the modern data ecosystem.
We are a boutique consultancy — not a body shop. Every engagement is led by a senior engineer or architect with deep, proven experience on the platform you're building on. We build the things we sell, and we sell the things we've built.
We contract on outcomes — working data pipelines, deployed models, live dashboards — not time and materials. If it's not in production, it's not done.
Every platform we build is hardened from day one. JWT auth, tenant isolation, audit logging, encrypted at rest and in transit — security is architecture, not an afterthought.
Procura and Elvota are not demos — they run in production on hardened cloud infrastructure. We bring the same build discipline to every client engagement.
Based in Toronto with remote-first delivery capability. We work with clients across North America, the UK, and Australia in financial services, healthcare, retail, and professional services.
We measure success in pipelines shipped, models deployed, and hours saved — not slide decks presented.
Faster risk model refresh cycle. Migrated overnight batch jobs to Databricks Structured Streaming, reducing a 6-hour run to under 25 minutes with full data quality checks.
Annual cloud cost reduction after redesigning a 380-table Snowflake environment. Introduced clustering keys, dynamic tables, and query governance that cut compute credits by 62%.
Document classification accuracy on clinical notes. Built a production RAG pipeline using Claude API + Snowflake Cortex that replaced a 12-person manual review team.
To go from zero to a production Databricks Lakehouse with 40+ ingestion pipelines, medallion architecture, and a Tableau semantic layer serving 200 daily active users.
Contracts analysed and structured in 2 hours using Procura. What previously required a paralegal week became an AI-automated workflow delivering 15+ extracted fields per document.
Resumes searchable in under 3 seconds using Elvota's 3-tier vector + keyword + AI ranking pipeline. JD-to-resume matching reduced time-to-shortlist from 3 days to 20 minutes.
"GenAI Consulting doesn't just implement platforms — they architect systems that become competitive moats. Their Databricks Lakehouse build gave our data science team capabilities that took our competitors years to build. The Procura tool they built for our procurement team alone justified the entire engagement."
Whether you're migrating to Databricks, scaling your Snowflake environment, building a production AI system, or exploring our SaaS products — our team is ready to engage.