Predikta simulates Filipino consumer response to campaigns, messages, and concepts — in days, at 10% of the cost of traditional research. Currently in soft launch — testing, fine-tuning, and building the commercial engine before full GTM. Built on published behavioral science.
Campaign decisions happen weekly. Traditional market research takes 3–4 weeks and costs ₱100–120K per study. By the time insight arrives, the budget is already spent.
Predikta builds psychographic models of Filipino consumer segments and runs behavioral simulations against campaign inputs — results in hours, no fieldwork, no sample bias.
During soft launch — before any scaled commercial outreach — all three paying clients have already returned for multiple simulations, integrating Predikta into recurring pre-launch decisions. That repeat-use signal, before a real GTM motion has even started, is the most meaningful indicator we have.
Workflow: Used Predikta during soft launch to assess campaign decision impact before committing to retrospective performance comparison. Client provided historical campaign data for validation against simulation outputs.
Why it matters: A real enterprise validation workflow — not a demo. The client is actively comparing Predikta outputs against observed campaign performance to evaluate commercial fit.
Workflow: Predikta integrated into campaign process for audience insighting, tone testing, ad-copy iteration, and benchmarking before launch — with a defined A/B testing path post-deployment to validate predictions.
Why it matters: A live workflow with a defined validation loop — not a pilot without exit criteria. This is the recurring workflow model we're building toward at scale.
Predikta's behavioral model integrates HEXACO personality science and Schwartz Values Theory — culturally recalibrated for Filipino psychology. Collectivism, family decision-making, religiosity as a value driver, and economic risk aversion are not parameters you can add to a prompt.
These numbers were generated before any scaled commercial outreach. Full GTM launches imminently — the pipeline being built now is significantly larger than what has converted to date, and we expect the pace to accelerate materially once the commercial engine is running.
We're not asking investors to believe in inevitability. We're asking them to back a team with the right credentials, a real early signal, and three specific falsifiable hypotheses — each of which we can test within 18 months.
Building behavioral decision infrastructure requires enterprise execution, behavioral science depth, and the credibility to attract academic and strategic partners simultaneously. This team has all three — and has done it before.
This $1.5M round has one commercial job: prove the first wedge is a repeatable, venture-scale business — not a project, not a consultancy, but a product with recurring demand and a clear path to Series A.
The methodology is published. The soft-launch signal is real. The strategic partner is committed. The team has built and sold companies before. We are raising to find out whether what's working at three early clients scales to thirty. We believe it does. This round is how we prove it.