Accepting New Enterprise Partners

Stop Guessing Slow.
Start Learning Fast.

We unify Product Strategy, Software Engineering, and Data Scienceinto a single framework. Don't just build code. Build a Data-Driven Knowledge Machine

STEP 01

The Strategy

We don't start with code. We start with questions. What is your North Star metric? Who is your user? What behavior drives value?

Product-Market Fit Analysis
User Journey Mapping
KPI Framework Design
STEP 02

The Build

Engineering excellence meets product vision. We build systems that scale, not prototypes that break. Every line of code serves the strategy.

Full-Stack Development
API Architecture
Infrastructure as Code
STEP 03

The Truth

Data is the product. We instrument everything, measure what matters, and surface insights that drive decisions. No vanity metrics.

Event Tracking Systems
Real-Time Dashboards
Predictive Analytics

Humans in the Loop

AI accelerates execution, but humans define intent and verify outcomes. While others sell Automated Magic, we sell Augmented Control.

Human Intent
AI Execution
Human Verification
THE HASHIDATA MANIFESTO

The Two-Layer Problem

We are solving a deep organizational failure that modern AI tools have inadvertently made worse.

The Root Cause: The Innovation Lag

Why does it take mature companies 9 months to validate a 1-month idea? It’s not a coding problem. It’s an organizational failure.

The Disconnect
Product teams invest weeks managing meetings, expectations and specifications, losing information and speed every step of the way. Context is scattered across stakeholders and there is no single coherent source of truth.
The Lag
Execution amplifies The Disconnect in repeating bureaucratic development sprints. It takes 6 to 12 months to move from "Idea" to "Measured Truth" because the system is lossy and slow.
The Result
Companies build the wrong thing, but they don't find out until a year later. By then everything has changed and we are not sure where to go next.

The Solution: The Hashidata Trinity

We believe product development is a closed loop. Strategy defines what to build. Engineering builds it right. Data proves it works. Then the loop repeats, smarter each time.

Strategy First
Define the hypothesis. What user behavior will drive your core metric?
Build to Test
Ship instrumented experiments, not features. Every release is a learning opportunity.
Measure Impact
Let data decide. If it moves the needle, double down. If not, kill it and move on.

The Hashidata Principles

01
Humans Define, AI Executes
AI can write code, generate content, and analyze data. But it can't define what matters. That's your job.
02
Data is the Product
Your application is just a data collection mechanism. The real product is the insights you extract and the decisions they enable.
03
Velocity is a Vanity Metric
Shipping fast means nothing if you're shipping the wrong things. Optimize for learning speed, not feature count.
04
Data Over Attachment
Fall in love with the problem, not your solution. If the data says it's not working, have the courage to pivot or kill it.
05
Strategy, Engineering, Data—Always Together
Siloed teams build siloed products. The Trinity must operate as one unified system, or it fails.
THE TRINITY FRAMEWORK

How We Work

A systematic approach to building products that scale. Every engagement follows this proven framework.

01

Discovery Sprint (Week 1-2)

We start by understanding your business model, user base, and current data infrastructure. This isn't a sales pitch—it's a paid strategic engagement.

Stakeholder Interviews
Map the org, understand constraints, identify champions
Current State Analysis
Audit existing systems, data flows, and metrics
North Star Definition
Identify the one metric that defines product success
Strategic Roadmap
Prioritized list of experiments to run first
02

Foundation Build (Week 3-6)

We architect the data infrastructure and core systems that will power everything else. This is where engineering excellence meets strategic foresight.

Event Tracking System
Instrument every user action that matters
Data Pipeline Architecture
Real-time data processing and warehousing
API Infrastructure
Scalable backend systems built for growth
Security & Compliance
SOC2, GDPR, and data governance frameworks
03

Experiment Cycles (Week 7+)

Now we move fast. Each 2-week cycle: ship an experiment, measure results, learn, and iterate. This is where velocity meets rigor.

Hypothesis Formation
Define what we're testing and why it matters
Rapid Prototyping
Build the minimum viable test, fully instrumented
Data Analysis
Real-time dashboards show experiment performance
Iterate or Kill
Double down on winners, kill losers fast

Continuous Optimization

The Trinity never stops. As your product scales, we continuously refine strategy, improve systems, and extract deeper insights. This is compounding growth.

ENGAGEMENT MODELS

How We Partner

We don't do fixed-bid projects or staff augmentation. We embed with your team as strategic partners.

Discovery Sprint

$25,000 / 2 weeks

A paid strategic engagement to define your North Star metric, audit current systems, and build a prioritized roadmap.

Stakeholder workshops
Current state analysis
Strategic roadmap
KPI framework
MOST POPULAR

Foundation Build

$150,000 / 3 months

We build the core data infrastructure, event tracking, and analytics systems that power everything else.

Everything in Discovery
Event tracking system
Data pipeline architecture
Real-time dashboards
API infrastructure

Ongoing Partnership

$75,000 / month

Continuous experiment cycles, optimization, and strategic guidance. We become your embedded product team.

Everything in Foundation
2-week experiment cycles
Dedicated team
Weekly strategy sessions
Continuous optimization
THE HASHIDATA TEAM

Who We Are

We're former product leaders, data scientists, and engineers from big companies like Nubank, Docplanner, Whirlpool and also early/mid-stage startups. We've seen what works at the big and small scale.

DM

Douglas Monroe

CPO

Head of Product @docplanner, led product teams of over 400 people.

GH

Guilherme Hashimoto

CEO

Seasoned Data Scientist and business analyst, leverages his technical and leadership roles at Galena, Nubank, Whirlpool and other startup ventures.

LH

Lucas Hashimoto

CTO

Self taught AI Guru, enabler of all things tech and AI.

Frequently Asked Questions

Everything you need to know about working with Hashidata.

Limited Spots Available

Ready to Stop Guessing?

Book a Discovery Sprint and we'll show you exactly what's holding your product back—and how to fix it.

Email Us
No long-term contracts
Results in 8 weeks
Organizational Evolution