Spotonix vs Claude or ChatGPT
Ask Claude or ChatGPT "what are our habitual buyers?" and it will guess. Ask it again tomorrow and it will guess differently. Spotonix doesn't replace the LLM. It gives the LLM something to reason over — your company's actual business knowledge.
The Problem
The Relationship
Spotonix doesn't replace the LLM. It completes it.
Head to Head
"Which stores are losing habitual buying customers?"
| Capability | Claude or ChatGPT | Text-to-SQL Tools | Spotonix |
|---|---|---|---|
| Knows your metric definitions | ✗ | ✗ | ✓ |
| Same answer every time | ✗ | ✗ | ✓ |
| Shows reasoning before executing | Partial | ✗ | ✓ |
| Learns from each question | ✗ | ✗ | ✓ |
| Reuses existing analytical work | ✗ | ✗ | ✓ |
| Understands DAX / LookML natively | ✗ | ✗ | ✓ |
| Enterprise governance (SSO, RBAC, audit) | ✗ | Varies | ✓ |
A Map
Shows every street. Doesn't know which ones you've driven. Doesn't remember last Tuesday's detour.
vs
GPS
Knows your routes. Remembers the shortcuts. Every trip makes the next one faster.
Claude or ChatGPT is a map — brilliant, comprehensive, but it doesn't know your terrain. Spotonix is GPS with your route history. It knows the shortcuts, remembers the detours, and every question makes the next one faster.
FAQ
ChatGPT can reason about a question and draft SQL, but it does not automatically know the customer Context Graph, governed metric definitions, prior accepted answers, BI assets, permissions, or audit requirements.
No. Spotonix can use foundation models for interpretation, but it adds the customer-specific Context Graph, BI Algebra plan, verification loop, and deterministic SQL compiler around the model.
The same business term often has a specific company definition. Spotonix preserves those definitions as reusable Segments, Calculations, and accepted answers so future questions compose from known context instead of new guesses.