The Partnership Opportunity
One Context Graph, two products. Analyst turns data's meaning into answers; Advisor turns it into action. For SIs, both are services-rich engagements with compounding customer value.
What Spotonix Does
Spotonix builds an intelligence layer over the data customers already have. It ingests warehouse schema, BI assets (DAX, LookML, dbt models), and every query that has actually run; constructs a Context Graph of what the business means and how it is used; and exposes two products on top of it.
Spotonix Analyst answers business questions in business language. The platform captures each question as an explicit formula on the customer's Business Lexicon, verifies the formula before any SQL runs, and compiles it deterministically. Each validated answer becomes reusable context.
Spotonix Advisor reads the observed workload and turns it into ranked, dollar-quantified recommendations. Each recommendation is a Case — evidence, predicted impact, blast radius, measurement plan — that lands as a dbt pull request the customer's team approves. Predicted vs realized is measured against an agreed baseline.
Both compound on the same Context Graph. What one product learns, the other reuses.
Where Partners Fit
Spotonix is the platform. Implementation success depends on services. Five engagement phases — the same shape for Analyst and Advisor, with track-specific work inside each phase:
Discovery & Scoping Weeks 1–2
Analyst track: inventory existing BI assets, map analyst workflows, identify the 20% of analyses driving 80% of demand. Advisor track: profile six months of query history, identify the top cost & performance opportunities, scope the first decommission candidates.
Deliverable: Engagement plan covering both tracks
Connection & Ingestion Weeks 2–3
Snowflake / Databricks / BigQuery / Redshift connector setup. BI asset reverse-engineering (PBIX, LookML, dbt manifests). Read-only dbt project access for Advisor. Credential provisioning and infosec review support.
Deliverable: Production-ready Context Graph powering both products
Validation & Governance Weeks 3–6
Analyst track: validate interpretations with the data team; establish ownership and approval workflows for the customer's Business Lexicon. Advisor track: review the first ranked Cases; design the dbt PR approval workflow and undo conventions. RBAC, audit trails, and data classification configured for both.
Deliverable: Governed Context Graph + SOPs for both Analyst answers and Advisor Changes
Adoption & First Wins Weeks 4–12
Analyst track: train analysts on composition vs translation; train business users on asking effective questions; build the first wave of validated terms and measures. Advisor track: apply the first low-blast-radius Cases through dbt; deliver the first Health Records (predicted vs realized).
Deliverable: Activated user base + first measured Advisor outcomes
Ongoing Curation Quarterly
Joint Context Graph reviews across both products. New domain onboarding (HR, Finance, Marketing). Cross-team term harmonization (Analyst). New classes of Cases earning higher trust-ladder rungs (Advisor). Health Records feed back into Analyst confidence and vice versa.
Deliverable: Compounding value across both products
What We Sell vs. What You Sell
| Spotonix | You (Partner) |
|---|---|
| Software platform (subscription) | Implementation services |
| Context Graph + formula layer + deterministic compilation | Asset inventory & Context Graph seeding |
| Native ingestion (DAX, LookML, dbt) | Reverse-engineering oversight |
| Analyst interpretation + Advisor Case generation | Governance setup + dbt PR approval workflow design |
| Self-learning loop (Health Records compound the graph) | Adoption + training (analysts + business users + data platform team) |
| Cloud or sovereign deployment | Change management |
| Founder-led support during pilot | Tier 1 + Tier 2 customer support |
Why Partner Now
- Category timing. Both intelligent BI and evidence-driven warehouse optimization are moving from concept to procurement in 2026. The first SIs with a track record will lock in seats across the next 24 months.
- Two services-rich engagements, one platform. Analyst implementations look like classic data platform projects (asset inventory, governance, adoption). Advisor implementations layer on workload assessment and dbt PR governance. Both compound, both renew, both expand by domain.
- Differentiation against text-to-SQL and opaque auto-tuners. Most agentic analytics work has no governance and no compounding value. Most autonomous optimizers act in the dark on one vendor's stack. Spotonix engagements are evidence-driven, governed, and engine-agnostic.
- Stack alignment. If you already implement Snowflake, Databricks, dbt, Power BI, Looker, or Tableau — Spotonix slots in. The skills you have transfer directly to both products.
- Co-sell motion. We bring qualified leads from outbound, partner with you on demos and pilots, and credit deals back to your team. We don't compete with services revenue.
Engagement Economics
What's consistent across every engagement:
- Spotonix sells the platform on subscription. You sell implementation services and ongoing curation.
- Both have margin. Neither competes for the same revenue.
- Co-sell credit is partner-favorable and structurally simple.
- Founder-led pilots for your first three engagements — we earn the right to your continued investment.
Specific economics depend on your existing book of business, deal mix, and engagement model. We design the partnership numbers together. Let's talk specifics under NDA.
How We Support Partner Engagements
You lead the engagement. We provide direct technical support so your team isn't carrying product knowledge alone.
Founder-led pilots First 3 customers
For your first three customer engagements, a Spotonix founder joins key sessions — kickoff, mid-pilot review, and final go/no-go. After that, our solutions team takes over.
Embedded solutions architect On demand
For complex deployments, a Spotonix solutions architect embeds with your team during the first 30–90 days. Available for ingestion edge cases, governance setup, and analyst training. Hourly basis when scoped, included when scoped into the partnership.
Augmented analyst program Optional
For customers in their first quarter on Spotonix, we can second a Spotonix analyst to operate inside their team alongside yours — building the first 50 high-value Segments and Calculations, training their analysts on composition, and seeding the Context Graph at the pace the business actually needs. Reduces partner risk on adoption commitments.
Shared Slack + clear escalation Always-on
Dedicated channel with your partner team. Same-day response on technical questions. Direct escalation path to engineering for product issues. No support-ticket maze.
Quarterly Context Graph reviews Recurring
Joint quarterly reviews of every partner-deployed customer — adoption velocity, validated asset growth, opportunity for new domain expansion. We bring the data; you bring the customer relationship; together you spot upsell windows.
Demo Assets
Analyst: a live demo on TPC-DS — habitual buyers, high spenders, churning customers, store performance. Familiar territory for any BI practitioner. Watch the Context Graph build, see deterministic compilation in action, watch query latency drop as the graph grows.
Advisor: a ranked Case backlog from real query history, with a worked example (unused materialized view: ~$4,200/month refresh cost, 3 queries served in 6 months). Limited-preview surface today — we're running paid assessments with design partners and welcome co-pilots.
Available on request: founders@spotonix.com
Founders
Venkatesh Seetharam · CEO — Co-creator of Apache Atlas. Built metadata infrastructure used by hundreds of enterprises.
Harish Butani · CTO — Founder of SparklineData (acquired by Oracle). BI engine architect at Oracle, SAP HANA, Apache Hive.
Backed by 8VC, Tokyo Black, Webb Investment Network. Angels include Keenan Rice (Looker founding team), Chalfen Ventures. Advised by Bob Muglia (former CEO, Snowflake).
Next Step
A 45-minute partner sync. We'll walk through the platform, talk through your existing book of business, and identify 3–5 accounts where we can co-sell immediately.