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What Nextekk does

Nextekk is a small, expert consulting team for Azure, AI, and data analytics. Strategy, build, and run, from advisory through production. We bring the full range of modern technology to every engagement: AI, cloud, custom applications, and data platforms. Microsoft is our default because it genuinely fits enterprise work. We bring in whatever else the problem requires. We never lead with a tool.

Founded in 2010 in Dallas Texas. National delivery across the United States.

Why we exist

A small team of expert engineers, paired with AI tooling, can deliver leading-edge cloud, AI, and data work faster than the established firms without the overhead. We move at the speed of the technology, not at the speed of a 50,000-person consultancy's internal processes. The passion is the work itself: technology, AI, and helping businesses actually use them.

How we engage

  • Half-day workshop: focused alignment on a single decision.
  • Two-week assessment: deeper dive with stakeholder interviews and prioritized recommendations.
  • Quarter-long advisory: embedded advisor at the program level.
  • Multi-month program: phased delivery with quarterly outcome milestones.
  • Squad augmentation: Nextekk engineers embedded in your team.
  • Fixed-bid project: well-scoped work with price certainty.

Services (12)

IT Consulting

Strategy and architecture work that survives contact with reality. We help you decide what to build, what to retire, and how to sequence the moves, with a roadmap your team can actually execute.

Digital Transformation

End-to-end modernization that touches operations, data, and the experience your team and customers live in. Each phase is structured to deliver value before the next one starts.

Application Development

Custom applications built on Azure and the Microsoft stack, from greenfield development to legacy modernization. We design, build, and deliver software that solves real business problems and hands off to your team ready to extend.

Data Analytics

From raw data to decisions. We build the data platform, the models, and the reporting surfaces that put trustworthy answers in front of the people who need them, without the dashboard sprawl.

Data Management

The pipelines, ingestion patterns, and data engineering practices that make your data reliable before it reaches a report or a model. Without this layer, analytics and AI have shaky foundations.

Data Governance

When the right data reaches the right person with the right context, business decisions improve. We help you build a data governance practice on Microsoft Purview that makes data discoverable, trusted, and properly controlled without creating a bureaucracy that slows the business down.

Data Migration

Moving a data platform is high-stakes. Schema changes break downstream consumers, ETL refactors take longer than planned, and cutover windows are short. We have run enough of these to know where the risk hides and how to sequence the work so the business stays operational throughout.

Azure Solutions

Architecture, build, and run on Microsoft Azure. We are opinionated about how it should be set up: identity, networking, observability, IaC. The team that inherits it can extend it without surprises.

AI Integration

Productionize AI without the science fair. We help you pick the use cases that justify the investment, ship the first one, and put the governance and evaluation rails in place so the second and third do not become a mess.

Security

Azure-native security that reduces your attack surface, satisfies audit requirements, and does not grind operations to a halt. We design for defense-in-depth from identity through workload, with the compliance evidence built in.

Data Science

Predictive models, statistical analysis, and machine learning applied to problems where the answer is not already in a report. We build and deploy data science solutions on Azure that produce decisions, not just experiments.

VoIP & Communications

Modern business voice and unified communications on platforms your team already lives in. We migrate legacy PBX environments to Microsoft Teams Phone and cloud-based VoIP, and we handle the carrier, the devices, and the dial-plan so your team does not have to.

Industries (12)

Healthcare

Clinical workflows hinge on data the EHR was never designed to surface. We help healthcare organizations free that data, automate the work it touches, and do it in a way that holds up under HIPAA review.

Oil and Gas

Operational data spread across SCADA, ERP, and field-service systems, with safety and compliance requirements on every decision. We build the analytics and integration layer that turns that data into operational insight: upstream, midstream, downstream, and exploration.

Financial

Regulated data, risk and reporting on tight cycles, and customer analytics that have to perform without crossing privacy lines. We help financial-services firms build that on Azure with the controls in place from day one.

Manufacturing

Production telemetry, supply-chain signals, and quality data that rarely speak to each other. We connect them and put the answers where the operators, planners, and finance team can act on them.

Retail

Customer, inventory, and store-operations data spread across point-of-sale, e-commerce, loyalty, and ERP. We unify it into surfaces the merchandising, marketing, and store teams actually use.

Government

Citizen-facing services, internal operations, and reporting transparency, built to comply, defend on audit, and survive a change in administration. We build on Azure with the controls and lineage to make that real.

Energy

Generation, transmission, and distribution operators sitting on SCADA telemetry, meter data, and asset records that rarely connect. We build the analytics and integration layer that turns that operational data into decisions, whether the work is in renewables, grid infrastructure, or conventional generation.

Technology

Technology companies have more data than most industries and often less internal infrastructure to make real use of it. We help software and tech firms build the data platforms, AI foundations, and cost-visibility tooling that engineering and product teams actually rely on.

Automotive

OEMs, suppliers, and dealer networks generating supply-chain, vehicle telemetry, quality, and customer data across dozens of systems. We connect those signals and put the answers where production, logistics, and commercial teams can act on them.

Utilities

Water, gas, and electric utilities carrying regulatory reporting requirements, aging asset portfolios, and customer service operations that have to work every day. We build the analytics and modernization layer that makes those obligations manageable and the operations visible.

Pharmaceutical

Drug development timelines, clinical trial data, and manufacturing quality controls sit in systems that rarely talk to each other. We build the data integration, analytics, and compliance reporting layer that gives R&D, manufacturing, and regulatory teams a coherent picture without sacrificing the auditability that FDA and EMA review demands.

Transportation

Fleets, freight, and logistics networks generate dense operational data that most carriers and 3PLs still read a day late. We build the analytics and AI layer that turns shipment, route, and asset data into decisions that happen in time to matter.

For (buyer roles, 9)

For CTO

You own the technology bets. We help you sequence them so the next 18 months ship outcomes, not architecture diagrams.

For CMO (medical)

You answer for clinical outcomes and clinician burden at the same time. We help you give the clinical team back time and put the data behind the right kind of clinical decisions.

For Product Manager

You own the roadmap and the delivery gap between what stakeholders want and what engineering can ship. We bring the senior technical depth and AI-paired velocity to close that gap on the items that matter most.

For AI Lead

You own the gap between what the model can do in a notebook and what it does for users in production. We help you close it, with the eval rigor and platform structure to repeat it with the next use case.

For Analytics Lead

You own decisions made on the data. We help you give the rest of the company analytics they trust, and the platform to keep up when the questions get harder.

For CEO

You are accountable for outcomes the business has not fully defined yet. We help you move from technology ambiguity to a clear, sequenced plan that your team can execute and your board can track.

For CMO (Marketing)

You own growth and the customer experience. We help you put data, AI, and the right applications behind both so marketing decisions are faster, more defensible, and more repeatable.

For CFO

You own financial integrity and the technology spend that keeps growing without obvious returns. We help you see where cloud, AI, and application investment is producing value and where it is not.

For CDO / Chief AI Officer

You own the AI and data strategy for the enterprise. We build the platform, governance, and use-case delivery engine that makes that strategy real without turning it into a multi-year infrastructure project first.

Case studies (6)

Published case studies are anonymized until written customer permission is on file. Outcomes are real; identifiers are masked unless authorized.

Blog posts (7)

  • What Most AI Readiness Assessments Get Wrong · May 12, 2026
    Most AI readiness assessments focus on data quality and infrastructure. These matter, but organizations that score well on both still fail to ship AI. Here is what a useful assessment actually measures.
  • What the Azure OpenAI Demo Doesn't Show You · May 5, 2026
    The demo works. Three months into production, the same system is producing wrong answers on a predictable subset of inputs, costs three times what was projected, and has no mechanism to detect when it is failing. Here is what the demo leaves out.
  • Why Your Power BI Deployment Isn't Getting Used · Apr 28, 2026
    The most common Power BI failure is not a technology failure. The reports work, the data refreshes, the dashboards load. Nobody opens them. Here is why, and what to do about it.
  • Digital Transformation Programs That Actually Finish · Apr 14, 2026
    Most digital transformation programs do not fail because of technology. They fail because of how they are sequenced, governed, and connected to business outcomes. Here is what separates the ones that ship from the ones that stall.
  • The Real Cost of Putting Data Governance Off · Apr 7, 2026
    Data governance has a reputation as overhead — something you do because the auditor asked, not because it changes how the business operates. That framing is wrong, and it gets more expensive the longer it persists.
  • Five Signs Your Cloud Migration Is Going Sideways · Mar 31, 2026
    Cloud migrations fail in recognizable ways. The technical work is usually not where the failure happens. Here are five warning signs and what to do about each one.
  • Microsoft Fabric vs. Synapse: How to Actually Choose · Mar 17, 2026
    Microsoft has two major data platform offerings that overlap in ways the documentation does not fully explain. Here is a practical decision framework — without the marketing language.

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