The ground truth platform for AI.
AI can explain almost anything, but it can’t reliably show its work.
Numbers can’t be traced, sources aren’t enforced, and correctness is assumed rather than proven - which means every AI-generated insight carries invisible risk.
AI understands what you're asking and generates language. (what AI does well)
Code retrieves data, runs calculations, and enforces consistency. (what code does well)
As a result, hallucination is architecturally impossible. AI generates language, not data. Every number is retrieved by code, from a source, with a citation.
Kepler is built on an industry-agnostic data platform and ontology.
Data platform
Code retrieves and computes.
DATA SOURCES:
UNSTRUCTERED DOCUMENTS
structured databases
external apis
real-time feeds
structured, normalized,
verified data
key properties:
code executes queries, not ai
same input = same output, always
every NUMBER traces to ITS SOURCE
normalized across enitites and time
point-in-time queryable
STRUCTURED DATA EXTRACTED from unstructured sources
ONTOLOGY/SEMANTIC LAYER
Transforms natural language into precise ontology references: entities, metrics, time bounds, and relationships.
CONCEPT
PRECISE DEFINITION
“PERFORMANCE”
METRIC_SET:
[REVENUE, EBITDA, MARGIN] WITH EXPLICIT FORMULAS
“OUR COMPANY”
entitiy_id: org_12345
Type: primary
aliases: [...]
“Q3”
TIME PERIOD: 2024-Q3,
DATE_RANGE: [JUL 1, SEP 30]
AI INTERFACE
AI interprets your question.
AI INTERPRETS:
TASK: COMPARISON
ENTITIES: COMPANY, PEERS
OUTPUT: ANALYSIS + CHART
UNDERSTANDS NATURAL LANGUAGE
FIGURES OUT WHAT YOU NEED
maps TO available skills & SKILLS
perform calculations
retrieve raw data
GENERATE numbers
PERSONALIZATION
Your data, your workflows, your format.
SPREADSHEETS
PRESENTATIONS
REPORTS
CODE
API RESPONSES
FINE TUNED MODELS
PERSONALIZED STYLING
Security and observability aren't features. They're how the system works. Every output can be traced, explained, and proven.
Security is embedded into every layer of the platform, from infrastructure to application logic.
Your data is stored in siloed environments, fully isolated from other customers at every level of the stack.
Every user, process, and service operates with only the access required. Permissions are scoped, logged, and reviewable.
Every query, calculation, and data access is logged with complete lineage. Trace any output back to its source.
Same input, same output, every time. Results can be independently verified and reproduced on demand.
Built for regulated environments where auditors, compliance teams, and regulators require full transparency.
Kepler is built by the engineers behind Palantir's core analytics infrastructure. We have track record of shipping mission-critical systems where being wrong isn't an option.
7 years at Palantir leading storage and compute platforms. Built Veraset to $15M ARR (acquired). Citadel's first Head of Business Engineering.
11 years at Palantir. Built the analytics engine behind $100M+ contracts. Created Palantir's first AI platform. PhD in Physics.