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Promethium for Technology & Telecom

Accelerate product, customer, and operational insights with trusted, AI-ready data. Promethium’s AI Insights Fabric connects, contextualizes, and governs distributed data across engineering, customer, and service systems — enabling teams and AI agents to deliver instant, explainable answers without data movement or complex integrations.

Transform how your technology or telecom organization leverages data to improve customer experience, optimize performance, and accelerate innovation.

THE CHALLENGE

Why Technology & Telecom Data Teams Struggle to Keep Up

Technology and telecom enterprises run on massive, distributed data — yet traditional approaches can’t keep up with the scale, complexity, and velocity required for modern operations.

Product Meets Customer Data

Critical insights depend on combining telemetry, usage, and customer data from disparate systems to understand adoption, churn, and experience.

Legacy Meets Modern

On-prem operational systems coexist with cloud-native applications and analytics platforms, creating integration and synchronization challenges.

Real-Time Scale Demands

Engineering, product, and support teams need insights from high-volume, real-time data faster than pipelines can be built.

Multi-Platform Complexity

Organizations must maintain a unified view across software, network, and customer systems while ensuring governance and performance.

The result: teams spend weeks assembling insights from fragmented sources — slowing innovation and limiting visibility into product and customer performance.
THE SOLUTION

Trusted, Contextual, and Governed Data for Innovation at Scale

Promethium’s AI Insights Fabric unifies access to all your data, automatically applies business and technical context, and enforces governance by design — making data instantly usable for analytics, AI models, and operational decisions.

Connect Everything

Instantly federate data across engineering, network, and customer systems — no migration, no re-architecture.

Deliver Trusted Answers

Enable analysts, product managers, and AI agents to query governed data directly with full context and lineage.

Accelerate Decision-Making

Turn product, network, and customer questions into instant, explainable Data Answers instead of lengthy integration projects.

Future-Proof Your Data Infrastructure

Extend the value of your existing systems while supporting AI-driven automation, DevOps analytics, and customer intelligence initiatives.

WHY PROMETHIUM

Turn Distributed Technology & Telecom Data Into Trusted Insights — Instantly

Promethium eliminates the complexity of fragmented digital environments — connecting every source, aggregating context for complete understanding, and enforcing governance without slowing innovation.

Instant Federation Across All Sources

Connect to engineering, network, and customer data — from Snowflake, Databricks, and MongoDB to Salesforce, ServiceNow, and proprietary systems — without moving or duplicating data.

Aggregated Context for Complete Understanding

Combine product, operational, and business metadata so every answer is accurate, explainable, and aligned with key performance metrics.

Governance Built In, Not Bolted On

Apply fine-grained access controls, lineage tracking, and audit logging consistently across every connected system to ensure compliance and reliability.

Open by Design

Work seamlessly with your existing technology stack — no lock-in, no re-architecture, and no disruption to production workflows.

IN ACTION

Real-World Technology & Telecom Use Cases

Product Analytics

Track product adoption, feature usage, and customer behavior across platforms to inform roadmap and engagement strategies.

Customer Health & Retention

Unify product telemetry, support data, and CRM insights to predict churn and improve satisfaction.

Network & Service Optimization

Monitor performance, capacity, and reliability with real-time analytics across network and cloud systems.

Revenue & Forecast Analytics

Combine usage, pricing, and subscription data to improve forecasting, revenue recognition, and go-to-market planning.