Ask anything across your enterprise. Get one governed, auditable answer.
Your CFO asks why order-to-cash slipped from 12 to 19 days. thinking sense answers from SAP, Salesforce, and Slack — governed, with full lineage — without moving a byte. No ETL. No ontology project. No waiting.
Meets your data where it lives.
60+ connectors. Data never moves. Every backend speaks its native protocol.
VPC deployment available · data never crosses the perimeter
0 bytes moved
Every query runs against your live systems in place. No copy, no warehouse, no duplicate data estate to secure.
100% accuracy
In internal benchmarks with Spyder 2.0 — reasoning across all relevant enterprise context, relationships, permissions, and business semantics.
Up to 90% lower cost
Per governed outcome — task-specific SLMs replace frontier-model calls once the enterprise has taught them.
From a business question to a verified execution.
thinking sense finds the right meaning and systems, compiles access policy into the plan, executes against live data, and preserves the evidence behind the answer.
“Why did our Order-to-Cash cycle increase from 12 to 19 days this quarter? Find the bottlenecks and tell me what to fix.”
Planned · 3 backends
Broke the question into steps: hold-rate by reason (SAP), exception approval status (Salesforce), release-latency conversations (Slack).
FROM sap_orders.credit_holds h
JOIN sap_orders.orders o ON o.order_id = h.order_id
GROUP BY h.reason ORDER BY holds DESC
Answer
62% of delayed orders carry a credit hold. 74% of those already have an approved commercial exception in Salesforce — Slack shows Sales re-asking Finance to manually release the same orders.
1,847
Unnecessary holds
3.6 days
Avg avoidable delay
$38M
Revenue delayed
412 hrs
Finance effort / mo
“Every project requires me to write an ETL pipeline and use a medallion architecture. What you’re showing is indeed radical.”
Head of Data & Analytics · Fortune 100 Specialty Retailer · more stories →
Enterprise intelligence, by function
The same ontology answers every leader’s question.
Expertise Packs combine domain knowledge with your enterprise data — so the CRO, the CFO, and the service leader can each ask their own question about the same customer, and get an answer grounded in the same facts.
CRO
“Which renewals are at risk because of repeated equipment failures?”
CFO
“Which customers are less profitable than the invoice makes them look?”
General Counsel
“Which contracts are blocking revenue right now?”
Enterprises buy these three separately.
An ontology tool. A fine-tuning platform. A governed AI platform. Three vendors, three budgets — none of them can answer your questions alone.
Palantir · dbt · Neo4j + SageMaker · Azure ML + Snowflake Cortex · Databricks
Together, they do what none could do alone.
Governed answers to every enterprise question — getting smarter with every verified interaction, through every system you already run.
The ontology knows what the data means. Fine-tuning learns how your enterprise uses it. Governed execution answers with full lineage. Intelligence compounds with every use — and that compound is the platform the next generation of enterprise applications is built on.
RLBUF · REINFORCEMENT LEARNING FROM BUSINESS USER FEEDBACK
Every vendor wants to own your enterprise intelligence.
We built the layer that keeps it yours.
The model labs want your prompts. Palantir’s ontology model requires your data inside their platform. Snowflake and Databricks want every workload on their estate. Google wants Gemini as your enterprise brain.
Each one is building toward the same end: being the place your enterprise intelligence lives — and the place it can never leave. thinking sense is the opposite bet. Keep every one of them optional. Keep your data where it is. Keep the intelligence yours.
| Palantir | Snowflake · Databricks | Gemini · OpenAI · Anthropic | thinking sense | |
|---|---|---|---|---|
| Data stays in place | — | — | — | ✓ |
| Ontology auto-discovered | — | — | — | ✓ |
| Any model, swappable | — | — | — | ✓ |
| Cross-system semantics | ✓ | — | — | ✓ |
| Enterprise owns the intelligence | — | — | — | ✓ |
| First governed answer | Months | Weeks | — | 48 hours |
Palantir’s cross-system semantics require full ingestion. Snowflake and Databricks operate within their own estate. Model providers have no enterprise ontology.
Ready to see it on your own data?
Connect two backends and get your first governed answer in under 48 hours.