Validate the highest-impact analytics use case with your product and business teams
KMS Technology acquires Addepto. Read the Full Press Release
KMS Technology acquires Addepto. Read the Full Press Release
Turn Product Data Into Competitive Intelligence: Six-week engagement designing and building customer-facing analytics—predictive insights, performance benchmarking, quality analytics—embedded directly in your product, not separate BI tools.
Building customer-facing analytics requires two capabilities that rarely come together: deep data and AI expertise to create meaningful, high-impact analytics, and strong product engineering to embed those capabilities seamlessly into the user experience. Most teams are forced into a trade-off. Relying on software teams delivers speed and polished UX—but limits analytics to basic dashboards with little predictive power. Turning to data specialists produces more advanced models and richer insights—but those insights often remain disconnected, stuck in BI tools or notebooks instead of driving real product behavior.
Trying to combine both through separate teams only introduces friction. Data teams build models, engineering teams integrate them later, and the handoffs slow everything down—turning what should take weeks into months. This challenge is especially pronounced in industrial and engineering-heavy environments like manufacturing, automotive, and aviation, where analytics must handle complex time-series and high-volume sensor data with precision. But the reality is broader: any company building data-driven products—from B2B SaaS to fintech and healthtech—faces the same gap between powerful analytics and truly embedded, actionable intelligence.
The impact of Embedded Analytics:
In just six weeks, KMS partners with your team to design and build customer-facing analytics features—turning your product data into intelligence embedded directly where users make decisions. Instead of treating analytics as a separate layer, this approach integrates it into the core product experience from the start.
It’s the fastest way to move from “our data could differentiate us” to “users actively experience that value.”
You’ll walk away with embedded intelligence already live in your product—ready to scale and positioned to deliver a clear, data-driven competitive advantage.
Validate the highest-impact analytics use case with your product and business teams
Build production-ready data pipelines, ML models, and frontend integration—all capabilities in one engagement
Deploy a working analytics feature embedded in your product UI where users make decisions
Measure real business impact with actual users—engagement, retention, or operational gains
Create a roadmap for expanding analytics across additional features and user segments
Your team partners with KMS + Addepto product engineers, data scientists, and AI specialists—all the capabilities needed for customer-facing analytics in one engagement. We work embedded with your product and business teams, solving user problems rather than operating as a separate technical unit.
Every engagement is shaped to your product, user workflows, and business goals.
The six-week model is proven—but no two builds look the same.
At the end of six weeks, you receive production-ready code, documentation, and strategic guidance—everything needed to deploy, measure, and expand your analytics capability.
Fully integrated into your product UI: predictive maintenance dashboard, fleet performance insights, quality analytics, usage benchmarking, or personalized recommendations—operational and user-tested.
Complete backend infrastructure: data ingestion, transformation, ML models (predictive, anomaly detection, scoring), APIs connecting analytics to your product.
Seamless UX implementation: charts, dashboards, alerts, or insights surfaced where users work—not separate tools requiring context-switching
Architecture diagrams, data schemas, model specifications, API references, deployment guides—enabling your team to maintain and extend
Clear path to scale: additional analytics features, broader user rollout, enhanced models, integration with more data sources—prioritized by business value.
Beyond deliverables, this engagement transforms how your product competes, how users engage, and how your team builds intelligence into everything you ship.
KMS Technology, enhanced by recently acquired Addepto, supports organizations that need to improve data reliability within existing systems, delivery timelines, and regulatory boundaries—without launching large-scale transformation programs or introducing parallel governance structures that sit outside day-to-day operations.
Through the KMS + Addepto merger, we combine 16+ years of software delivery excellence with specialized AI and analytics capabilities. Your analytics aren’t just technically sound—they’re product experiences.
Every engagement measures real user outcomes. You get proof of value, not assumptions about potential impact.
The same team that builds your prototype can scale it to full production, add features, and continue iterating—no knowledge transfer, no ramp-up time.
Experience with high-volume sensor data, time-series analytics, and engineering-grade accuracy in manufacturing, automotive, aviation, and IoT platforms. We handle complexity that breaks typical SaaS approaches.
We build with software delivery rigor: testing, monitoring, security, scalability. No throwaway prototypes that need rebuilding for production.
One team owns a data pipeline, ML models, and product integration. No handoffs between data scientists and engineers means no coordination delays.
The Data Analytics Accelerator proves viability and quantifies business value. From here, organizations typically expand through:
Let’s build an analytics feature that proves value in six weeks—embedded in your product, validated with real users, ready to scale.
