One platform to unify your data, protect it, and put it to work — at half the cost of the alternatives.
Implementation included — no consulting fees.
Predictable 36-month cost.
One contract. One accountable partner.
Your Analytics Debt Is Compounding
Most organizations lack structure, not dashboards.
Fragmented Architecture
You are managing five or more vendors — ETL, BI, warehousing, privacy, analytics — each with its own contract, configuration, and maintenance burden. Every new initiative adds another integration to the pile.
Transformation logic scattered across tools and teams with no single source of truth
Metric definitions that vary by team and by dashboard
Integration overhead that compounds with every new initiative
Constrained Engineering
Your best engineers are buried in pipeline maintenance and reporting requests instead of building what matters. Every question requires crossing multiple systems and teams before anyone gets an answer.
Analytics workloads strain production systems
Reporting backlogs that expand faster than they're resolved
Business teams waiting on technical mediation for basic insight
AI That Cannot Get Off the Ground
The ambition is there. The foundation is not. Without governed, structured data, AI initiatives stall before they deliver operational value.
Inconsistent data definitions that undermine model reliability
Ungoverned data movement that introduces compliance risk
Models that get built — but rarely get deployed
The Datanyx Platform
From raw data to predictive intelligence — one system, four integrated capabilities.
Datanyx Weave
Data Integration & Transformation
Standardize pipelines, define metrics once, and eliminate undocumented logic across every source system. Available as a standalone capability or as part of the full platform.
Datanyx Lens
Operational & Predictive Intelligence
Self-service analytics and embedded reporting built directly on data. Explore, analyze, and share insight without waiting on engineering — with predictive capability available through Product Engineering Services when you're ready.
Datanyx MaskBits
Data Protection & De-Identification
Flexible, multi-method masking across the entire analytics lifecycle. Secure insight without a separate privacy tool.
Product Engineering Services
Implementation & Delivery
Implementation, modeling, pipelines, privacy configuration, dashboard delivery, and ML deployment — executed by the Datanyx team. Scaled to fit your architecture.
Start with integration. Expand into analytics and predictive capability — without replatforming.
Powering data decisionsat organizations like these...
McKesson
Healthcare & Precision Medicine
Datanyx processes billions of genomic and clinical records across McKesson's oncology and specialty care operations — where data accuracy is not a preference. It is a clinical requirement.
Eversource Energy
Energy & Utilities
Datanyx powers energy efficiency program management across Connecticut and Massachusetts — unifying vendor performance, compliance tracking, and GHG reporting in one platform.
Amante India, a Reliance Retail Brand
Retail & Distribution
Datanyx replaced fragmented regional reporting across 10,000+ retail touchpoints and 1,000+ dealers with real-time distribution intelligence — giving leadership visibility at every level of the network.
Solutions by Role One platform. Every stakeholder.
Predictable 3-Year Economics
Most organizations are spending 50% or more than they need to on data infrastructure.Datanyx delivers a complete, unified platform at a fraction of the cost — with no hidden fees and no surprise invoices.
One contract covers licensing, implementation, and ongoing support
Transparent, fixed pricing — no scope creep, no add-on fees
36-month total cost of ownership you can budget for from day one
Know exactly what you are getting.Know exactly what you are paying.
Before Datanyx
Separate tools for BI, integration, privacy, and analytics
Multiple vendors and renewal cycles
Ongoing integration overhead and rework
Engineering time spent maintaining pipelines
Scaling requires new licenses and new contracts
After Datanyx
Integration and transformation
Analytics and embedded reporting
Privacy and security controls
Statistical and ML capability via Product Engineering
One predictable 36-month cost model
AI Starts with Structure
AI does not begin with models.It begins with governed, structured data.
Trusted Data Foundation
Defined transformation logic and version-controlled metrics
Controlled data movement across every system
Privacy embedded by design
Reliable models require reliable architecture.
Statistical Capability
Regression, forecasting, and time-series modeling
Cohort and correlation analysis
Outlier detection and anomaly identification
Statistical clarity precedes machine learning.
Intelligence Embedded in Workflows
ML outputs integrated directly into dashboards
Model results surfaced inside business workflows
Advanced use cases supported by the Product Engineering team
Models that influence decisions — not slide decks.
Ready to see what structured analytics looks like for your organization?
Talk to the team.We will show you what Datanyx looks like for your data environment — and what it would cost.