Introducing Kaiya Apps

Describe an app. Kaiya builds it.

Trusted AI apps that reason on your data — fluent in your domain context, governed end-to-end.

Build an app for pipeline drivers and forecast▎ Tell Kaiya what to build…

Try:

Book demo

Watch Video

SOC 2 Type II

HIPAA

Row-Level Security

Audit log

Trusted by the world’s most innovative teams

What makes it work

AI apps that actually get numbers and nuance right.

01 · Grounded

Built on your semantic layer.

Your metrics, your security, inherited.

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.

02 · Fluent

Fluent in your domain.

Pre-built ontology, not a YAML you write.

Speaks your terms.
NBRx, promo cycle, accruals.
Knows your structure.
Territories, hierarchies, payer segments.
Follows your cadence.
Fiscal calendars, launch curves.

03 · Reasoning

Reasons through to the why.

Productized methods, not LLM-generated SQL.

Picks the method.
Root cause, what-if, causal, forecast.
Decomposes the why.
"Mix 60%, cost 30%, volume 10%."
Deterministic outputs.
Same question, same answer.

There are two emerging patterns. Wipe coding apps like Lovable and Replit help you generate apps quickly, but they live outside your business and data context. Natural language dashboards on the other hand can generate charts in seconds, but it's just aggregated data with a chat wrapper. No reasoning, no why. Apps closes the gap. Build anything grounded in your semantic layer with the reasoning of an analyst. Introducing Kaya Apps. A CFO asks, why did operating margin drop three points last quarter? In the old world, that's a six week ticket. With Kaya Apps, describe the objective. Kaya plans it, grounds it in your semantic layer in recent graph, picks the methods, applies row level security, and ships the app. But this isn't a dashboard. Every knob is live. Drag the slider, every number reruns. Click a card, drill into the drivers behind every mood. Not the chart, the analysis. You stay in control. Ask Kaya to add a cut, change the window, reshape the view, approve every move, the app updates governed in seconds. Ask anything, build anything across every function and domain. The CFO gets the answer. Margin dropped three points driven sixty percent by product mix, thirty percent by cost pressure, ten percent by volume traceable. That's Kai apps. Not vibes, not just charts, built on the domain reasoning layer. Your context, your governance, your reasoning. Imagine, iterate, ship. Kaya apps tell Kaya what to bill. Ship an app your business can trust.

The Principle

Not chat.
Not code.
Apps that reason.

Cortex Analyst · Genie · Glean

Chat that ends.

Asks one question, returns one answer, session over. No app to share. No tool that lives.

Lovable · Bolt · Replit · v0

Code that drifts.

Generates Streamlit or React that's right on day 1, wrong by Q2 — no semantic layer, no governance, no one to refactor it when the business changes.

Kaiya Apps · Tellius

Apps that reason.

Refinable in plain English. Governed end-to-end. Used every Monday by the team that asked.

The Gap It Closes

From a 6-week ticket to the answer in 5 minutes.

"Why did operating margin drop 3 points last quarter?" — a CFO, at the quarterly review

Before Kaiya Apps

~6 weeks

File a ticket. Wait in the queue. Get back a dashboard that shows what happened — never why.

With Kaiya Apps

~5 minutes

Type the objective. Kaiya grounds it, picks the methods, returns the answer: 60% mix, 30% cost, 10% volume — drillable, governed.

App Library

A ready-made starting point for every commercial and operating team.

Every app grounded in a governed data model, editable in natural language.

Pharma

Territory Performance Review

Regional Directors · Commercial Ops

The territory app a commercial ops lead describes in the morning is in the hands of Regional Directors by Monday.

Root Cause

Anomaly Detection

Trend

Weekly Territory Review

Territory Performance Dashboard

TRx vs Tgt

94.2%

-3.1 WoW

NBRx YoY

+18.4%

+2.2 plan

Cov. Gap

flagged

Summary

Territory

Alerts

TRx TREND · 13 WEEKS

Pharma

HCP Targeting Workbench

Field Reps · Area Managers

Rank HCPs by decile and segment, flag high-potential drop-offs, surface call history — built for the weekly cycle plan.

Segmentation

Anomaly Detection

Correlation

Cycle Plan · Weekly

HCP Targeting Workbench

Target HCPs

1,247

in region

Decile 8-10

342

high priority

Coverage

68%

below plan

Targets

Segments

Call Plan

HCPs BY DECILE

CPG

Brand Performance Review

Category Managers · Brand Teams

Promo lift by retailer, market share trends, and a what-if tab for trade spend reallocation — the weekly brand meeting, in one app.

Variance Decomp

Anomaly Detection

What-If

Weekly Brand Review

Brand Performance Dashboard

Promo Lift

+12.4%

vs 4-wk avg

24.1%

+0.8 pts

Trade ROI

2.3x

target 2.0

Performance

Promo

What-If

MARKET SHARE · 52 WEEKS

CPG

Trade Promotion Optimizer

Trade Marketing · Revenue Growth

Lift vs cannibalization by retailer, promo ROI ranked, and recommended adjustments — before the next funding round.

Decomposition

Correlation

Segmentation

Trade Marketing · Q Review

Trade Promotion Optimizer

Promo ROI

2.3x

above target

Cannib.

18%

within limit

Shift

$2.1M

recommended

ROI

Retailers

Recommend

ROI BY RETAILER

FP&A

Department Variance Monitor

Department Heads · Controllers

Budget vs actual by cost center, forecast accuracy trends, and ranked variance drivers — department heads walk into reviews with answers.

Variance Decomp

Forecasting

Root Cause

Monthly Close · FP&A

Department Variance Monitor

Variance

-$1.8M

over budget

FCST Acc.

94%

strong

Flagged

depts

Summary

By Dept

Drivers

VARIANCE BY DEPT · $K

FP&A

Close-Week Variance Explainer

CFO Office · FP&A Leads

Month-close variance by line item, driver attribution, and an auto-generated narrative — the close memo writes itself.

Decomposition

Correlation

Root Cause

Month Close

Close-Week Variance Explainer

Variance

-$3.2M

vs plan

Top Driver

CC 2134

-$1.4M

Narrative

Ready

generated

Drivers

Narrative

CLOSE-WEEK WATERFALL · $M

Browse all 50+ Kaiya Apps →

Ready to ship?

Your first decision app — live in a week.

30-minute scoping call. We'll pick one decision your team makes every week, build the Kaiya App with your data, and ship it. No Streamlit code. No YAML. No 6-week ticket.

Book your scoping call →

Watch the launch film

SOC 2 Type II

HIPAA

SSO / SAML

Row-Level Security

Auditable by Design

Looking for scheduled briefings instead? See Kaiya Missions →

DISCOVER MORE

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.

Payer Policy Validation: How to Publish an Access Number That Survives a Challenge

A market access number is only useful if teams can explain exactly where it came from. This guide explores how pharma organizations can build a rigorous payer policy validation process for formulary access metrics that need to withstand scrutiny from market access, brand, finance, field, and leadership teams.

How Agent Debugger Audits a Kaiya Analysis End to End

See how Kaiya’s Debug Agent provides an independent second opinion on AI-generated analysis by auditing the full analytical trace—not just the final answer. It reviews the data model, semantic layer, SQL and logic, skills, summaries, and recommendations to uncover errors that can otherwise look convincing. When it finds a problem, it determines whether to fix the individual analysis, the underlying skill, or the data model—helping enterprises make AI analytics more transparent, explainable, and trustworthy.

How Agios Pharmaceuticals Runs AI-Native Commercial Analytics at Launch Scale

See how Agios Pharmaceuticals uses AI-native commercial analytics to support launch-scale decision-making. This blog explores how the team brings data and AI into commercial workflows to accelerate insights, investigate performance drivers, and give teams faster answers as launch complexity grows.

AI-Native Analytics at Launch Scale | PMSA Agios Full Webinar

Watch the Agios Pharmaceuticals PMSA webinar and see how AI-native analytics is helping commercial teams accelerate insights at launch scale. The discussion explores how AI can streamline analysis, uncover performance drivers, and help pharma teams make faster, data-driven decisions.

Tellius 6.3: Kaiya Everywhere, Grounded in Your Business

AI answers are only useful when they're grounded in your business and available where decisions actually happen. See how Tellius 6.3 delivers fast, traceable insights across pharma, CPG, RevOps, and FP&A — right in the tools your team already uses.

PMSA Webinar: Proactive Pharma Intelligence—A Practical Blueprint

See how pharma teams are using agentic AI to collapse the data-to-insight bottleneck—turning claims, contracts, and sales data into governed analytics models in one conversation instead of weeks in queue.

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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.

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.

View All Resources

Describe an app. Kaiya builds it.

AI apps that actually get numbers and nuance right.

Built on your semantic layer.

Fluent in your domain.

Reasons through to the why.

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%

12×

3×

Your first decision app — live in a week.

Breakthrough Ideas, Right at Your Fingertips

Payer Policy Validation: How to Publish an Access Number That Survives a Challenge

How Agent Debugger Audits a Kaiya Analysis End to End

How Agios Pharmaceuticals Runs AI-Native Commercial Analytics at Launch Scale

AI-Native Analytics at Launch Scale | PMSA Agios Full Webinar

Tellius 6.3: Kaiya Everywhere, Grounded in Your Business

PMSA Webinar: Proactive Pharma Intelligence—A Practical Blueprint

PMSA Fall Symposium 2025 in Boston

Tellius AI Agents: Driving Real Analysis, Action, + Enterprise Intelligence

Describe an app. Kaiya builds it.

AI apps that actually get numbers and nuance right.

Built on your semantic layer.

Fluent in your domain.

Reasons through to the why.

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%

12×

3×

Your first decision app — live in a week.

Breakthrough Ideas, Right at Your Fingertips

Payer Policy Validation: How to Publish an Access Number That Survives a Challenge

How Agent Debugger Audits a Kaiya Analysis End to End

How Agios Pharmaceuticals Runs AI-Native Commercial Analytics at Launch Scale

AI-Native Analytics at Launch Scale | PMSA Agios Full Webinar

Tellius 6.3: Kaiya Everywhere, Grounded in Your Business

PMSA Webinar: Proactive Pharma Intelligence—A Practical Blueprint

PMSA Fall Symposium 2025 in Boston

Tellius AI Agents: Driving Real Analysis, Action, + Enterprise Intelligence

Not chat.
Not code.
Apps that reason.