Objection describes itself as the first AI tribunal that lets anyone challenge a factual statement made in public, giving people access to qualified investigators and, in its words, dramatically lowering the cost of access to justice and reputation. A user files an objection, an independent investigator gathers evidence, and an adjudication panel — a jury of specialist and non-specialist AI models — decides which side the evidence favours. Every decision is public, transparent and appealable.
The company is explicit about what it is not: not a court, not a publisher, not a private investigation agency, and never a source of legal advice. Decisions are not binding unless the parties have contractually agreed to binding arbitration. It was founded by Dr Aron D'Souza, and sells tiered plans that differ by investigator seniority and investigation speed. Objection is currently rebuilding toward what it calls an epistemic, primary-sourced future.
2. Problems
What Objection.ai was up against
- 01A sprawling modern stack — product DB, four ad platforms, Asana, Cloudflare, PostHog, Stripe and Twilio, eleven systems in all.
- 02Each system held a piece of the truth, and none could answer a question that spanned marketing, product and revenue at once.
- 03The conventional path meant hiring an analyst, then a second, then a warehouse, then a third — cost, hiring cycles and a new bottleneck.
- 04Every unanswered question either waited for someone technical or was decided on instinct instead of evidence.
3. Outcome
What changed with Supaboard
- 11 sources
- Product DB, ads suite, Asana, Cloudflare, PostHog, Stripe and Twilio — unified
- 0 analysts
- The company runs without a data analyst on board
- 2 teams
- Marketing and product, fully self-serve on one source of truth
4. The story
The Objection.ai story
Objection.ai built a modern stack the way modern companies do: their product database, the full ads suite (LinkedIn, X, Instagram, Google), Asana for execution, Cloudflare for infrastructure, PostHog for product analytics, Stripe for revenue, and Twilio for communications. Eleven systems, each holding a piece of the truth.
The conventional next step is to hire a data analyst, then a second, then build a warehouse, then hire a third. Objection.ai went the other direction — they decided to run the company without a data analyst at all, with Supaboard as their data headquarters.
Eleven systems, and a choice not to hire analysts
Every modern company hits the same fork: the stack sprawls, the questions multiply, and the default answer is to hire. Hiring buys you answers, but it also buys you cost, hiring cycles, and a new bottleneck — one person between every question and its answer.
One data headquarters for eleven sources
Supaboard became Objection.ai's data headquarters. Every source unified into one place, and the trainable agent learned how the company thinks about its funnel, its campaigns, and its operating cadence:
- All eleven sources, one place: From the product database through the ads suite, Asana, Cloudflare, PostHog, Stripe, and Twilio.
- Trained on the business: The agent learned Objection.ai's funnel, campaign structure, and operating cadence.
- Analyst questions, no analyst: The questions that would normally route through an analyst route through the agent instead.
Marketing: four-platform attribution in one query
Marketing pulls campaign attribution across four ad platforms — LinkedIn, X, Instagram, and Google — in a single query. No exports, no stitching, no analyst in the loop. Blended performance across every channel, answered the moment the question is asked.
Product: PostHog behaviour joined to Stripe revenue
Product pulls behavioural data from PostHog joined against revenue from Stripe — connecting what users do to what they pay, in a single question. The join that would normally need a warehouse and someone to model it happens in the question itself.
Where Objection.ai landed
Objection.ai runs the entire business on Supaboard. Marketing and product teams operate self-serve against eleven integrated sources:
- Zero data analysts: The company runs without the cost, hiring cycle, or bottleneck of a data team.
- Self-serve across eleven sources: Marketing and product answer their own questions, end to end.
- Evidence by default: When asking the data a question is free and instant, every meeting brings receipts.
