Building the middleware layer that syncs brand signals to humans and machines—simultaneously.
Buyers see ten blue links.
Optimized for Attention (Browsing).
Buyers see one synthesized recommendation.
Optimized for Memory (Answers).
Do buyers remember you when it's time to choose?
Can AI parse and cite your brand confidently?
When both align, conversion increases and CAC decreases.
"Our bet: the next marketing advantage is memory, not attention."
Marketing is optimized for noise (renting attention), not memory (owning demand). When the ad spend stops, the traffic stops.
Signal Entropy
Unstructured Data
"Our core insight: This isn't a creative problem. It's a structural problem.
Brands don't need more content. They need
one signal that
humans remember and AI retrieves."
A middleware layer that calibrates, encodes, and syncs your signal to stop the leakage.
One-Time Setup
We map the "Core Memory Signal" to ensure zero entropy. This creates the "Source of Truth" file that governs all future output.
Automated Infrastructure
Encode (Human): Deploy high-recall video
assets.
Sync (Machine): Inject structured schema into
your site so AI cites you.
Financial Indicator
We track the Memory Score™ (0–100). Our thesis: As Score goes UP, CAC goes DOWN.
A leading indicator of brand efficiency. We combine 5 signals into one metric that correlates with financial outcomes.
VIEW LIVE PROTOTYPEEvery pilot feeds the Memory Graph—our proprietary dataset linking message clusters to CAC reduction.
We're intentionally starting high-touch to validate what becomes automated.
Success = repeatable score lift that predicts cheaper acquisition with lag.
We don't claim SaaS today — we earn it by proving predictive power.
Capital to move from Thesis to Evidence.
Three credible paths. One disciplined entry point.
We prove that "High Memory Score = Lower CAC" across 20+ pilots. This evidence allows us to raise a priced Seed round (e.g., Target $2M at $10M–$12M Cap).
Your Return Profile:
A proprietary dataset of what messages humans remember and what AI retrieves. This solves the "AI Visibility" problem for larger platforms.
Strategic Buyers:
Service revenue transitions to SaaS revenue (Self-serve Memory Score). We become the standard infrastructure layer for AI discovery.
The Outcome:
"You're investing early in a disciplined experiment: reclaim demand ownership in an AI world, and turn that into a measurable metric (Memory Score) that can become the platform."
Born and raised in Bangladesh, Ivdad has spent 16+ years learning by doing—mostly in entrepreneurship.
Over the last 12 years, he helped build LightCastle Partners—a management and development consultancy—into a multi-million dollar business alongside a talented team of 60+ people. Together, they delivered 500+ projects across 15+ countries. That journey taught him what it takes to build something from the ground up.
Now he's applying those lessons to a new problem: helping B2B SaaS brands grow more efficiently in an AI-first world. He doesn't have all the answers yet—but he's committed to figuring it out.
| Raise | $250,000 |
| Pre-money | $2.5M |
| Post-money | $2.75M |
| Ownership | ~9.09% |
| Engagement | 6-month min |
| Pricing | $3K–$6K/mo |
| Capacity | ~$112.5K MRR |
Revenue designed to extend runway beyond initial capital.
| Stage | Risk Profile |
|---|---|
| Current |
Thesis / Validation (High Uncertainty) |
| Target (~18 months) |
Evidence / Repeatability (Lower Uncertainty) |
Trigger: ~25 paid clients validating Memory Score correlates with 25–35% efficiency gains
Illustrative Repricing: 2–3× valuation step-up at Seed
B2B SaaS companies with ~$1–20M ARR
These companies feel CAC pressure earliest, have budget authority to act, yet lack internal capability to solve AI discovery and memory together. Even 1–2% penetration supports a large standalone business.
The unaddressed intersection of Human Recall and Machine Retrieval.
Focus: Human Recall Only
Focus: Reporting Only
The unique solution syncing the signal to both.
High-recall video assets that fix entropy.
Schema & Knowledge Graph injection for AI.