We make data useful and actionable.

Predictive UX helps SaaS and enterprise organizations achieve a user-validated approach to connecting data, AI, and machine learning

We help you automate your business using AI.

Why we're different

We have always been a  user-first  technology company—that means we iteratively design and test to ensure adoption before we build.  Our process is designed to produce experiences that users love so there's no chance of failure for you.  

Wouldn't it be nice to know your data initiatives couldn't fail?  Talk to an AI expert and find out how we can help make that happen for you. 

Predictive UX Named in Inc 5000 List of Fastest Growing Companies in America

Give customers and employees a good UX

Build a CX platform for your SaaS application

Lay the right AI foundation with a knowledge graph

Give customers and employees a good data experience

Build a feedback ecosystem for your SaaS product managers

Build a feedback ecosystem for your SaaS product managers

Give customers and employees a good data experience

Lay the right AI foundation with a knowledge graph

Make inclusive technology a reality for your company

Being People-first Matters Now More Than Ever

Predictive UX is a people-first AI consultancy. We are experts at delivering AI solutions aligned to user and business needs. Are we the right partner for you?

OUR APPROACH TO AI PROJECTS

Design Thinking (1)

Design Thinking Workshops

Interactive

UX / UI Design and Testing

Data (1)

Graph Databases / AI / ML

Magic Wand (1)

AI-powered Insights 


FREQUENTLY ASKED QUESTIONS

What types of applications do you create?

We build Enterprise and SaaS Applications.


Enterprise Applications

360 Platforms, Analytics Tools, Business Intelligence, Content Management Systems, Dashboards, Decision Support Tools, Diagnostic Tools, Enterprise Search, Expert Finders, Fraud Detection, Intranets, Knowledge Bases, Learning Management Systems, Legal Discovery, Metadata Hubs, Predictive Analytics, Predictive Models, Recommendation Engines, Research Platforms, Sales Enablement Tools, Smart Systems, Unified Content and Data Platforms

SaaS Applications

B2C, B2B, B2B2C, Analytics Dashboards, Fintech Apps, Healthcare Apps, Payment Platforms, Product Platforms, Research Platforms, White Label Solutions

Don't see what you're looking for?  Chances are we have built an application like yours.  Get in touch and let us know what you'd like to create.

What data work do you do?

Big data, little data, and everything in between.

  • AI
  • Data Fabric
  • Data Governance
  • Data Transformation
  • Enterprise Search
  • Knowledge Graphs
  • Machine Learning
  • Proof of Concepts
  • Systems Integration
  • Unified Content and Data

Book a discovery call to learn more.

What kinds of design work do you do?

We are experts in all things UX/UI.

Design

  • Clickable Prototypes
  • Design System Creation or Refresh
  • Design Thinking Workshops
  • High-fidelity Mockups
  • Proof of Concept
  • Wireframes

Research and Testing

  • AB Testing
  • Competitor Analysis
  • Contextual Inquiry
  • Customer Experience (CX) Journey Maps
  • Data Visualization
  • Diary Studies
  • Ethnographic Research
  • NASA-TLX
  • Net Promoter Score
  • Scenario Based Usability Tests
  • System Usability Scale
  • User Experience (UX) Journey Maps
  • User Interviews

 

What is a knowledge graph?

Knowledge graphs are a type of graph database.

Knowledge graphs are a type of graph database.  They are more flexible than traditional databases and when coupled with a semantic model (business terminology), they can connect together sources of disparate data in deep context.  Data can be content, people, transactions, domain knowledge and more.

VALUE:

Connecting data with a semantic layer allows businesses to automatically surface insights, knowledge and patterns that otherwise require a data scientist to uncover.

USE CASES:

Semantic Search, Customer or Employee 360, Fraud Detection, Diagnostic Tools, Recommendation Engines, Predictive Analytics, Drug Discovery, Data Lake Value, Supply Chain

What is a product manager?

Product managers are accountable for product vision.

Product Managers help create a product vision and lead teams in the implementation of that vision; in this way they are both strategic leaders and a day-to-day tactical part of a team.  Because of their unique role, Product Managers are the glue that holds teams together as they are ensuring implementation team success while also managing communications and deliverables due from both a client to an implementation team and vice-versa.

TYPES OF DELIVERABLES:

Roadmaps, high-level data models, workshops, current state assessments, future state vision, prioritized features, technology recommendations

What technologies do you work with?

We work with a wide array of technologies.

  • Adobe Experience Manager, Butter, Contentful, Drupal
  • AWS, Google, IBM
  • Elasticsearch, Splunk
  • Figma, Adobe XD, Qualtrics, User Testing
  • Google Data, Looker
  • Salesforce, Hubspot, Tableau
  • Linkcurious
  • Neo4j, Mongo DB, Snowflake, TigerGraph
  • Node.js, Python, Kafka
  • R, SPSS
  • OneTrust, Qlik
How much does it cost to work with you?

$16,000+

Our projects range in price from $16,000 for starter projects to more than $1M for multi-year engagements. For custom solutions, pricing is informed by the complexity of scope, your timing and the type of resources you may need.

You can find pricing for our pre-packaged solutions on our solutions pages:

 
Can you train our team?

Yes, during an engagement.

We have years of experience working across disciplines and know how to transfer our knowledge to your team during an engagement so that you can support our work after we are gone.

BUILDING THE FUTURE?

Let's build it together.