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…
Ready · forecast
Try:
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.
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
7
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
Share
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
WALMART TARGET KROGER ALBERTSONS
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
4
depts
Summary
By Dept
Drivers
VARIANCE BY DEPT · $K
ENG SALES MKTG OPS
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
Close
Drivers
Narrative
CLOSE-WEEK WATERFALL · $M
PLAN CC2134 COGS FX OTHER ACT
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.
SOC 2 Type II
HIPAA
SSO / SAML
Row-Level Security
Auditable by Design
Looking for scheduled briefings instead? See Kaiya Missions →
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