Achieved 5x year-over-year business growth using Google Cloud’s vertically integrated AI stack and robust developer support
Delivered a $20M margin uplift for an industrial client in six weeks
Effectively scales to analyze hundreds of billions of data points for Fortune 500 companies
Secured zero data retention for regulated clients using Gemini’s approachable and cost-effective enterprise security features
Named a 2026 Innovation Showcase Finalist by the MIT Sloan CIO Symposium for its enterprise reasoning deployments
Growth Protocol uses Google Cloud and Elastic to power a neuro-symbolic platform that gives executives clear, deterministic growth recommendations they can act on. By orchestrating Agent Platform, Gemini, and Elastic search, they transform how global enterprises make strategic business decisions.
Growth Protocol uses Google Cloud and Elastic to power a neuro-symbolic platform that gives executives clear, deterministic growth recommendations they can act on. By orchestrating Agent Platform, Gemini, and Elastic search, they transform how global enterprises make strategic business decisions.
From "black boxes" to boardrooms:
The quest for explainable growth
In a world obsessed with AI use and value, Growth Protocol isn't just following the trend—it’s building at the frontier. Founded by industry veterans, Growth Protocol set out to solve the ultimate C-suite challenge: how to drive repeatable, predictable growth in a volatile market.
While many organizations rushed to buy LLM licenses, they quickly hit a wall. Generic AI models are excellent for productivity—helping employees write emails 10% faster—but they often lack the deterministic repeatability and auditability required for high-stakes capital allocation. A CEO can’t de-invest $100 million based on a "black box" suggestion that changes every time the question is asked.
Black-box AI can't justify high-stakes decisions. Growth Protocol's reasoning engine makes them explainable and defensible: a neuro-symbolic architecture that combines the pattern recognition of neural networks with the grounding, context, and rules of symbolic AI.
"Neural models pattern-match. Symbolic systems reason. Most AI platforms pick one. We built ours to do both, because enterprises can't choose between flexibility and accountability,” says Bryan Katis, Chief Product Officer, Growth Protocol. “The neural side handles messy enterprise data. The symbolic side enforces the rules the business actually has to operate by. You don't get one without the other in any system that's safe to deploy at scale."
Google Cloud is the ideal partner for building our Enterprise Reasoning Platform. Their vertical stack and Gemini Enterprise Agent Platform tools provide the stability and scalability we need to deploy at the frontier without worrying about re-platforming as our business continues to grow at an unprecedented rate.
Miroslav Dimitrov
Chief Executive Officer, Growth Protocol
Building this "Enterprise Reasoning Platform" presented a massive technical hurdle: the system needed to ingest and search hundreds of billions of data points—from public data sources to private transaction data—with near-instant results.
Orchestrating the Enterprise Reasoning Platform
with Elastic and Google Cloud
To bring this vision to life, Growth Protocol turned to Google Cloud as its foundation and Elastic as its high-speed search engine. The decision to build on Google Cloud was driven by vertical integration—from custom chips to world-class AI engineers—and its reputation as a startup-friendly partner.
The architecture is a masterclass in modern AI orchestration:
- Gemini Enterprise Agent Platform: Growth Protocol uses Model Garden on Agent Platform to productionalize internal models and leverages Gemini to understand user intent.
- Elastic for fast retrieval: While Growth Protocol handles the "core reasoning," Elastic operates at the "edge," providing the speed and accuracy needed for semantic search and real-time Q&A.
- BigQuery and Google Kubernetes Engine: These tools handle the massive data pipelines and scaling requirements of large-scale industrial and insurance clients.
- Zero data retention: By using Gemini, Growth Protocol ensures that sensitive customer data is never used for model training, a critical requirement for regulated industries.
Elastic is a critical strategic partner for our platform’s retrieval capabilities. By using Elastic for fast, high-accuracy semantic search, we can instantly query hundreds of billions of external data points to provide the deep contextual meaning our customers need to make high-stakes, data-driven decisions with confidence.
Bryan Katis
Chief Product Officer, Growth Protocol
5x growth and the future of decision-making
The impact of this collaboration has been immediate and measurable. Growth Protocol grew 5x last year and is currently on track to grow another 3x to 4x in 2026. The company has already secured over 20 enterprise clients, including some of the world's largest leaders in consumer health, insurance, and industrials.
The results are impressive. One insurance client used the platform to identify $250 million in capital it could free up by allocating reserves more accurately across its claims portfolio. Another identified millions of dollars in unnecessary shipping costs caused by a simple department preference rather than a structural issue. A third used the platform's forecasting capabilities to successfully launch a new product that is now outperforming market expectations.
Behind these results is decision memory, which captures what was true at the time of the recommendation and the reasoning behind it, building institutional knowledge that compounds over time. Each decision a client makes on the platform sharpens the next.
These successes recently earned Growth Protocol selection as a 2026 Innovation Showcase Finalist by the MIT Sloan CIO Symposium—one of ten companies chosen from thousands of applicants.
Looking ahead, Growth Protocol is expanding into Europe and Latin America with the United Kingdom, Germany, and Mexico as initial hubs with a bold ambition: to change the very definition of ERP from "Enterprise Resource Planning" to "Enterprise Reasoning Platform." By equipping humans with strategic intelligence rather than just more data, they aren't just building software; they are helping to reshape entire economies.
Trust is essential when working with regulated industries. Gemini integration into Google Cloud offered us a cost-effective path to zero data retention, ensuring our customers’ private information is never used for model training while providing the sophisticated intent-understanding required to drive our neuro-symbolic reasoning engine forward.
Miroslav Dimitrov
Chief Executive Officer, Growth Protocol
Growth Protocol is the Enterprise Reasoning Platform—a neuro-symbolic AI engine that turns data into explainable, auditable, governed business decisions for regulated, high-stakes industries, with decision memory that compounds accuracy over time.
Industry: Technology
Location: United States
Products: BigQuery, Gemini Enterprise Agent Platform, Cloud Run
About Google Cloud partner - Elastic
Elastic is a strategic search and analytics partner providing the high-speed retrieval capabilities. Its platform enables advanced semantic search across hundreds of billions of data points, ensuring business users receive accurate, contextual answers in real-time.
