Describe an app. Kaiya builds it.
AI apps that actually get numbers and nuance right.
Built on your semantic layer.
- One definition of every metric.Revenue, margin — defined once.
- Grounded in your semantic layer.Each viewer sees only their data.
- Autonomous or interactive.Every answer cites its source.
Fluent in your domain.
- Speaks your terms.NBRx, promo cycle, accruals.
- Knows your structure.Territories, hierarchies, payer segments.
- Follows your cadence.Fiscal calendars, launch curves.
Reasons through to the why.
- Picks the method.Root cause, what-if, causal, forecast.
- Decomposes the why."Mix 60%, cost 30%, volume 10%."
- Deterministic outputs.Same question, same answer.
Not chat.
Not code.
Apps that reason.
Chat that ends.
Code that drifts.
Apps that reason.
From a 6-week ticket to the answer in 5 minutes.
A ready-made starting point for every commercial and operating team.
Teams ship apps weekly with Kaiya.
88%
Novo Nordisk
12×
PepsiCo
3×
eBay
Your first decision app — live in a week.
Breakthrough Ideas, Right at Your Fingertips
Dig into our latest guides, webinars, whitepapers, and best practices that help you leverage data for tangible, scalable results.
Best Trade Promotion Analytics Platforms in 2026: 11 Platforms Compared
Trade promotion analytics has become a critical driver of revenue growth management in modern CPG organizations, with platforms evolving from basic tracking tools into AI-powered decision engines. This guide compares 11 of the best trade promotion analytics platforms in 2026, breaking down their strengths across planning, optimization, forecasting, and post-event analysis. You’ll learn how leading solutions help unify data, improve promotional ROI, and move teams from reactive reporting to proactive, predictive decision-making—so you can choose the platform that best fits your business needs.
Start with the Mission
This blog argues that successful analytics and AI initiatives don’t start with tools or dashboards—they start with a clear mission tied to real business outcomes. It highlights how organizations often get stuck in cycles of data exploration without direction, leading to wasted time and low impact. Instead, leaders should define the decisions they want to improve, align analytics efforts to those goals, and build workflows that move from insight to action. By grounding analytics in mission-driven use cases, companies can reduce manual effort, accelerate decision-making, and unlock the full value of AI-powered insights.
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Best AI Platforms for Pharma Commercial Analytics in 2026: 11 Platforms Compared
This guide compares the 11 best AI platforms for pharma commercial analytics in 2026, evaluating how each supports brand performance, market access, patient analytics, field force effectiveness, incentive compensation, and omnichannel engagement. It highlights a key shift in the market: traditional BI and SFE tools focus on reporting what happened, while newer AI platforms differentiate by investigating why performance changed. The post breaks down core capabilities like root cause analysis, data integration, governance, and agentic workflows—helping pharma teams identify which platforms can deliver faster, more actionable insights across commercial operations.
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Tellius AI Agents: Driving Real Analysis, Action, + Enterprise Intelligence
Tellius AI Agents transform business intelligence with dedicated AI squads that automate complex analysis workflows without coding. Join our April 17th webinar to discover how these agents can 100x enterprise productivity by turning questions into actionable insights, adapting to your unique business processes, and driving decisions with trustworthy, explainable intelligence.
PMSA Fall Symposium 2025 in Boston
Join Tellius at PMSA Oct 2–3 for two can’t-miss sessions: Regeneron on how they’re scaling GenAI across the pharma brand lifecycle, and a hands-on workshop on AI Agents for sales, HCP targeting, and access wins. Discover how AI-powered analytics drives commercial success.
