AI, data & IT consulting, since 2014
Datakraftz pairs applied AI and data engineering with full-stack IT staffing and consulting — generative AI and modern data platforms on one track, senior engineers across DevOps, full-stack, QA, security, and more on the other.
How we work with you
Track — AI & Data Engineering
Applied AI and data engineering delivered end-to-end — from Snowflake and Databricks migrations to RAG applications and computer vision, built to run in production.
See AI & Data EngineeringTrack — IT Staffing & Consulting
DevOps, full-stack development, QA, cloud, security, and program management — embedded specialists or a dedicated team, deployed on your timeline.
See IT Staffing & ConsultingTrack — AI & Data Engineering
We're a data and AI consultancy built by engineers who'd rather ship something that lasts than something that looks good in a slide deck. Every engagement starts with your data as it actually is, not as a tidy diagram pretends it to be.
That means solutions that plug into pipelines you already trust, dashboards your teams already open every morning, and a delivery model that gets you to a working result in weeks, with a clear path to scale from there.
AI solutions
From conversational interfaces over your own data to vision systems on a factory floor — applied AI that fits the problem in front of you.
RAG, custom LLM applications, and AI agents wired into the tools your teams already run — turning dashboards into conversations and documents into answers.
Explore Generative AIForecasting, classification, and decision-automation models tuned to your workflows, not a generic benchmark.
Explore AI & MLExtract structured insight from images, documents, and video — inspection lines, document intake, and scene understanding.
Explore Computer VisionModern data platforms
Implementation, data modeling, and cost optimization on the Snowflake Data Cloud.
Learn more →Lakehouse architecture, ML pipelines, and Unity Catalog rollouts at any scale.
Learn more →End-to-end Fabric onboarding and Power BI migrations from Tableau, Qlik, Cognos, and more.
Learn more →Track — IT Staffing & Consulting
Beyond AI and data, Datakraftz places senior engineers and delivers consulting engagements across the full IT stack. Whether you need one specialist embedded in your team or a dedicated pod running a project end-to-end, we staff for the skill gap you actually have.
Vetted specialists embedded directly in your team, working under your management and your process.
A self-contained pod — engineers plus a lead — running a defined workstream from kickoff to delivery.
Fixed-scope engagements where we own the outcome end-to-end, on a timeline and budget set upfront.
They embedded two DevOps engineers within a week, and both matched our stack exactly — no ramp-up detour.
Our approach
Every solution connects to your existing infrastructure from day one — no rip-and-replace required.
Proven accelerators and reference architectures get you to a working result fast, with a clear runway to scale.
Security, privacy, and auditability are part of the architecture, not a checklist added at the end.
Trusted by teams who can't afford to guess
What clients say
Datakraftz didn't just build us a model — they rebuilt the pipeline feeding it, so the results actually held up once it hit production.
We needed a Power BI migration done without disrupting reporting for three business units. They pulled it off ahead of schedule.
Their team treats governance as part of the build, not an afterthought — that mattered a lot to our compliance group.
FAQ
We work across two tracks. AI & Data Engineering covers generative AI, machine learning, computer vision, and cloud data platform migrations across Snowflake, Databricks, Microsoft Fabric, and Power BI. IT Staffing & Consulting covers senior talent and delivery across DevOps, full-stack development, QA, cloud infrastructure, security, and program management.
We've delivered projects across healthcare, retail, financial services, logistics, energy, manufacturing, and insurance. Our approach adapts to any organization with complex, real-world data.
Most engagements produce a working result within weeks using our accelerators and reference architectures, with a clear roadmap to scale the solution further.
Reach out through our contact page for a free assessment, or schedule a demo to see relevant solutions in action before committing to a project.
Ready to put your data to work?
We'll walk through where modern data platforms and applied AI can produce a working result inside your organization — no generic deck, no long sales cycle.
Get started today