Trust
Read-only access. Your VPC. Your boundary.
Read-only credentials · SOC 2 in progress · BYO LLM key · Self-host option · Your Context Graph never leaves your boundary.
Works with
The Agentic BI Analyst · Builds Your Context Graph
Reads your warehouse, models, and every SQL your team has ever run. Composes verified plans from your validated Segments and Calculations. Same plan compiles to the same SQL — math, not probability.
“It learns your business in a week. Then it never forgets.” — VP Analytics, [vertical]
In production with teams in
The BI Analyst Your Team Would Hire
◐
LEARNS your business
Reads your warehouse, past SQL, and your team's vocabulary. Speaks back in measures, segments, hierarchies — not column names.
Powered by your Context Graph →◑
COMPOSES the plan
Builds from your validated Segments and Calculations — not from scratch. Plan visible before SQL runs.
Read the plan, then approve →●
COMPOUNDS with every Q
Every verified answer joins your Context Graph. Knowledge persists past people.
Day 1 → Week 4 → Quarter 2 →The Gap
Pre-built views. Break on novel questions.
Flexible but siloed. Knowledge walks out with the analyst.
Generates from scratch every time. Different SQL Mon vs Tue.
Brilliant. Stateless. No memory of your business.
LLMs have solved natural language. The missing layer is a Context Graph — the structured record of how your business actually reasons about its data.
The Objection
CLAUDE OR CHATGPT IN YOUR WAREHOUSE
Writes plausible SQL each time. Different syntax Monday vs Tuesday. No memory of your business's vocabulary, your validated logic, or what your analysts decided last quarter.
/* generated, not composed */ SELECT … FROM raw_orders WHERE customer_id IN (…) // 4 columns away from the right answer
SPOTONIX ON YOUR CONTEXT GRAPH
Composes the answer from your validated Segments and Calculations. Same question Monday and Tuesday compiles to the same SQL, by design. Plan visible before SQL runs.
/* composed from accepted plan */ WITH habitual_buyers AS (…) SELECT store_id, qoq_change // same plan → same SQL, always
What We Deliver
Not a chat tool. Not a chart tool. A structured representation of how your business reasons about data — in three layers.
01
YOUR DATA
Read once, enriched continuously. The system understands the shape of your warehouse before any question gets asked.
02
YOUR LOGIC
Captured as first-class business primitives — Segments, Calculations, Answers. The things your team already says, promoted to the system's native nouns.
03
YOUR HISTORY
Persisted as reusable assets. Every accepted plan adds to the graph; the institutional knowledge stops walking out the door.
The Context Graph is yours alone. Persistent. Sovereign. Growing.
How It Works
Three steps under the hood. Each one is a checkpoint — none of them is a black box.
Discovery, classification, and reasoning
A business question isn't a search query. "Stores," "losing," and "habitual buying customers" each carry different semantic weight. Spotonix resolves these against your company's vocabulary — through semantic search, pattern classification, and structural reasoning — not a generic model.
Compose a plan in BI Algebra — and show it before SQL runs
The LLM proposes a symbolic plan in BI Algebra, composed over your Segments and Calculations. The system accepts the plan only if the algebra closes — every concept resolves, every Calculation grounded. The Plan Card is visible before any SQL compiles. You see exactly what the system understood — approve, or refine.
| Interpretation | Resolved against | Status |
|---|---|---|
| "Habitual buyers" | Customers, $500+ / quarter | ✓ algebra closes |
| "Losing" | QoQ decline in customer count | ✓ algebra closes |
Every verified answer joins your Context Graph
Validated interpretations become reusable building blocks. New Segments, Calculations, and Answers join the graph permanently. The next question builds on what you've already proven — the 100th question is faster than the 10th.
A tool on Day 1.
Infrastructure by Quarter 2.
The asset is yours — persistent, sovereign, growing.
Same analyst. Five questions. 3 Segments, 4 Calculations, 2 Answers — all reusable.
See how it thinks
"habitual buyers" matches 2 Segments — pick one
Plan · auto-applied from Context Graph
Surfaced from your Context Graph · 3 Segments + 2 attribute groups
TPC-DS benchmark · clarify once · memory forever · same plan → same SQL
Why Spotonix · The Moat
01
YOUR CONTEXT GRAPH
Built from your schema, queries, and BI assets. Compounds every time you use it. Data-quality issues compound alongside — surfaced without being asked.
02
ALGEBRAIC VERIFICATION
No probabilistic guessing. Ambiguous questions are surfaced for clarification, not guessed at. Every verified query has its plan attached: audit trail by construction.
03
BACKEND-AGNOSTIC
Tested today on OpenAI and Anthropic. Run on your enterprise contract. Snowflake, Databricks, BigQuery — same system.
Each pillar exists elsewhere in pieces. The hard part is all three operating together in one workflow.
Trust
Read-only credentials · SOC 2 in progress · BYO LLM key · Self-host option · Your Context Graph never leaves your boundary.
Works with
Voices
"Spotonix fundamentally changes how teams interact with data."
"The context layer is the missing piece in modern data stacks."
"Most analytics tools optimize for speed. Spotonix optimizes for institutional memory. That's an entirely different game."
The Team
We built metadata systems, BI engines, and semantic infrastructure. Spotonix is the convergence of those lessons.
Co-founder & CEO
Built Apache Atlas & Apache Falcon at Hortonworks. Early investor in Snowflake, ThoughtSpot. 15+ years building data platforms at scale.
Co-founder & CTO
Founding CTO of SparklineData (acquired by Oracle). Built BI engines for Oracle, SAP HANA, Apache Hive. 20+ years of BI infrastructure.
Backed By
Bob Muglia Fmr. CEO, Snowflake The Ask
WHAT WE NEED FROM YOU
WHAT YOU GET IN 2 WEEKS