Enterprise Data Foundation

Your data is
broken. Your
team knows it.

NexGenTek builds a clean, governed, AI-ready data foundation in 90 days — so your engineers build products instead of fixing pipelines.

40+
Enterprise deployments
90 days
Avg. full foundation
65%
Reduction in pipeline incidents
Your current data health
Pipeline documentation18%
Data quality coverage31%
Stakeholder trust score42%
Engineer time on building (vs fixing)38%
After NexGenTek
Pipeline documentation100%
Data quality coverage94%
Stakeholder trust score89%
Engineer time on building78%
Average deployment: 11 weeks · Fixed scope · Full handover

+

Global Business Experts

+

Completed Projects

+

Hours Supported

%

Reduction in Cost

You have data.
Your team doesn't trust it.

Data engineers spend 58% of their time on maintenance. BI reports get questioned in every review meeting. AI initiatives stall because training data isn't verified. This is not a people problem — it's an architecture problem.

🔥

Firefighting, not building

Data engineers spend most of their sprint on incident response and pipeline debugging, not on new analytics or product features.

58%of engineer time lost to maintenance

Numbers nobody trusts

Finance qualifies every metric. Executives ask "where did this come from?" every time. Trust breaks down — and slow decisions follow.

6 wksaverage wait for a new dashboard
🚫

AI blocked by bad data

ML teams spend 65–80% of sprint time on data preparation. AI initiatives get delayed — not because of the models, but because of what feeds them.

80%of ML time spent on data prep, not modeling

Four products.
One complete foundation.

Each engagement is scoped, time-boxed, and priced like a product —
not estimated like a consulting project. You know exactly what you get and when.

Product 01 · 4 weeks
CoreLayer™
A complete map of what's broken, what's at risk, and what to build first — delivered in 4 weeks.
4 weeks · Fixed price
  • Data Health Report with prioritized risk matrix
  • Pipeline inventory and lineage gap analysis
  • Governance maturity scorecard
  • Recommended product sequence and investment estimate
  • 30-minute walkthrough with your engineering lead
Solves: "We don't know where to start or what's actually broken."
Product 03 · 4 weeks
VeriData™
A governance layer that makes your data trustworthy — data contracts, a live catalog, and access controls your team actually uses.
4 weeks · Fixed scope
  • Data contracts for your top 5 business domains
  • Live data catalog with search and ownership metadata
  • Role-based access control policy set
  • Data quality SLA monitoring dashboard
  • Regulatory audit export (HIPAA / SOC2 ready)
Solves: "Executives question every number. We can't prove where data came from."
Product 04 · 6 weeks
MLForge™
Your data, made AI-ready. A feature store and ML data pipeline so data scientists stop waiting on data engineers.
6 weeks · Advanced
  • Production feature store with versioned datasets
  • CI/CD pipeline for ML data preparation
  • Data contracts for ML model inputs
  • Automated data freshness and drift monitoring
  • Model data lineage documentation
Solves: "Our ML team spends 80% of their time on data prep, not on models."
Full Foundation: CoreLayer + DataCred + VeriData + MLForge
Complete enterprise data foundation in 16–22 weeks. One team. No handoffs. Full ownership transfer at the end.

Build it in phases.
Ship it fast.

This page is designed to launch in 3 phases. Phase 1 ships in 2–3 weeks with everything needed to convert. Phases 2 and 3 add differentiation over time.

Phase 1 · 2–3 weeks

Sections to include

Only what converts. Static content only. No backend required. Launch fast and measure response before investing in interactivity.

  • Hero (outcome headline + health visualization)
  • Proof bar (4 key metrics + partner logos)
  • Problem section (3 symptom cards)
  • Before / After table (8 specific metrics)
  • Products grid (4 named products)
  • ROI Calculator (simple JS, no backend)
  • Case studies (3 cards, outcome-first)
  • Final CTA with Calendly embed
Expected impact: 2–4x increase in consultation bookings vs. current service pages
Phase 1 · Why these sections

Decision rationale

Each section is included because it removes a specific pre-sale objection — not because it fills the page.

  • Hero → answers "what do you do?" in 5 seconds
  • Problem → makes the buyer feel understood
  • Before/After → converts abstract claims to real numbers
  • Products → kills the "open-ended consulting" fear
  • ROI Calculator → creates micro-commitment
  • Case studies → removes "our situation is different" objection
  • CTA → closes with a low-commitment offer
Everything else is Phase 2+. Don't add complexity until Phase 1 is validated.
Phase 1 · Technical scope

Build requirements

Phase 1 is a single HTML/CSS/JS file. No CMS, no backend, no framework required for the initial launch.

  • Static HTML with inline styles (or Webflow)
  • ROI calculator: 50 lines of vanilla JS
  • Calendly embed for CTA booking
  • Google Analytics + UTM tracking on CTAs
  • HubSpot form for email capture (15 min setup)
  • 1 frontend developer · 2–3 weeks
Total build cost estimate: 1 developer × 3 weeks. Fully measurable from day one.
Phase 2 · 4–6 weeks

Sections to add

Add differentiation once Phase 1 is live and generating leads. These additions increase time-on-page and lead quality.

  • Data Maturity Assessment quiz (5 questions, scored)
  • Interactive architecture diagram (5 clickable layers)
  • Product scope builder (select products, see timeline)
  • Expanded case study modals with full details
  • Partnerships section (SAP, Snowflake, AWS, Google)
  • FAQ accordion targeting technical objections
Expected impact: +40% increase in qualified leads; reduced time-to-close from assessment pre-qualification
Phase 2 · Why these additions

Differentiation logic

These elements separate NexGenTek from competitors who have static service pages but no interactive depth.

  • Maturity quiz → segments leads before the sales call
  • Architecture diagram → satisfies technical buyers visually
  • Scope builder → lets buyers self-configure their investment
  • Full case studies → for buyers who need deep proof
  • FAQ → reduces SDR time on pre-sale objections
Phase 2 is when the page starts outperforming competitors on depth and trust.
Phase 2 · Technical scope

Build requirements

Phase 2 adds interactive components. Still no backend required — all logic runs in the browser.

  • Quiz: 150 lines of JS with localStorage save
  • Architecture diagram: inline SVG with click handlers
  • Scope builder: JS object array with price ranges
  • Case study modals: CSS + small JS overlay
  • CMS integration for case studies (optional)
1 developer × 4–6 weeks or parallelize with Phase 1 developer.
Phase 3 · 6–10 weeks

Advanced features

Phase 3 adds sophisticated tools that create genuine stickiness — buyers return to use them before and after booking.

  • Foundation Simulator (personalized timeline by industry + sources)
  • Live data health benchmark (industry comparison tool)
  • Gated case study library with email capture
  • ROI PDF export with company branding
  • CRM-integrated lead scoring from tool usage
  • A/B testing framework on hero headlines
Phase 3 makes the page a lead generation asset, not just a landing page. 24/7 qualification.
Phase 3 · Why these features

Strategic rationale

At this stage, the page becomes a competitive moat. Competitors can copy static content. They can't easily replicate a working simulator with personalized outputs.

  • Simulator → answers the #1 pre-sale question: "what would this look like for us?"
  • Benchmark → makes buyers feel behind without NexGenTek
  • Gated content → builds an email list of pre-qualified buyers
  • ROI PDF → becomes a sales tool the buyer shares internally
  • CRM scoring → sales team knows who to call first
This is where NexGenTek becomes clearly and objectively better than Anblicks online.
Phase 3 · Technical scope

Build requirements

Phase 3 requires a lightweight backend for PDF generation, email capture, and CRM integration.

  • Simulator: React component or vanilla JS (complex logic)
  • PDF export: Puppeteer or client-side PDF lib
  • Email capture: HubSpot or Mailchimp API integration
  • CRM scoring: HubSpot webhook or Zapier workflow
  • A/B testing: Google Optimize or VWO (free tier)
Full-stack developer + 6–10 weeks. High ROI relative to cost at this stage.

The next 90 days.
Your call.

A free 60-minute architecture review with a senior data engineer. No sales pitch. We map your current environment and show you exactly what we'd build and what changes.

No SDR. No pitch deck. You talk to an engineer on the first call. · 1,500+ enterprise projects delivered.
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