DataFramer

DataFramer Services

Improve an important journey or workflow.

We work with your team to connect user actions, human work, systems, business data, and AI where present. Find what’s driving outcomes, make the right changes, and measure whether they worked.

YOUR JOURNEYS, WORKFLOWS & SYSTEMS

We work with your tech stack.

Apps & Workflows

Models & Data

Tools & APIs

DATAFRAMER SERVICES

Works with your team to improve one important journey or workflow.

Understand the journey

Find what drives the outcome

Decide what to change

Measure what happened

DATAFRAMER PLATFORM

Runs the measurement and improvement loop continuously.

Journeys & outcomes

Signals & traces

Expert review & evals

Continuous improvement

What we do

Four jobs, on one workflow at a time.

Start with one important journey or business workflow and one measurable outcome. Not an enterprise-wide transformation study.

01

Understand the journey

Connect the events and data behind one important customer journey or business workflow. Establish how it works today and the outcomes that matter.

02

Find what’s driving outcomes

Identify patterns behind delays, rework, abandonment, cost, quality, conversion, revenue, or other important results.

03

Decide what to change

Use the evidence to improve the process, handoffs, systems, data, vendor, product experience, or AI.

04

Measure what happened

Compare outcomes before and after the change and determine whether the result improved.

Your systems stay yours. We help make the workflow measurable and easier to improve.

Not sure which workflow to start with? Let's talk

Going deeper

When AI is part of the workflow.

A workflow problem is a business problem first. When the evidence points at an AI step, DataFramer can go deeper into the AI itself.

Traces behind the AI step
Recurring Findings
Expert corrections
Root cause
Ground truth
Evals & regression testing

We can stay involved from diagnosis through implementation and ongoing measurement, depending on what the problem requires.

The team

Who you work with

Our team brings experience building enterprise monitoring products, AI evaluation systems, and production infrastructure across AppDynamics, Salesforce, VMware, LLM alignment research, and DataFramer’s own AI quality work. AI evaluation systems deployed in production at Fortune 500 companies.

Puneet Anand

Puneet Anand

Founder & CEO

Built enterprise monitoring and user-journey systems at AppDynamics, Salesforce and VMware. Inventor on patents in journey monitoring and business-context data collection, and co-author of Hallucinot.

Focus: Business outcomes, workflow intelligence, enterprise systems

Alex Lyzhov

Alex Lyzhov

Head of AI

AI researcher with 1,000+ citations across uncertainty estimation, evaluation and model control. Co-author of Hallucinot and research on post-deployment control of language models.

Focus: Evaluation, correctness, model behavior, expert standards

Gabriel Marrocos

Gabriel Marrocos

Infrastructure & DevOps

Ex-AWS.

Focus: Enterprise architecture, deployment and infrastructure

Backed by Bessemer Venture Partners and Tidal Ventures. More about the team

From diagnosis to implementation

What comes next depends on what we find. That may mean defining the business measures, instrumenting the workflow, changing a process or handoff, bringing experts into the right reviews, or putting continuous measurement into DataFramer.

Start with one workflow.

Start with one important journey or business workflow. We’ll help you understand what’s driving the outcome and what to improve.

Start with one workflow