• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

Imbellus Raises $23 million to Take on the Testing Establishment

October 31, 2018 By admin

Immersive simulations, now used in hiring process at top employers, allow Imbellus to assess how people think instead of just what they know

Imbellus, developer of simulation-based assessment technology, today announced the closing of a $14.5 million Series A financing round led by Owl Ventures, bringing the company’s total funding to $23M. Prior investors, including Upfront Ventures and Thrive Capital, participated alongside Rethink Education, which also joined the round.

“The achievements of the Imbellus team represent a unique opportunity to improve assessment across the education to employment ecosystem,” says Ashley Bittner of Owl Ventures. “This work has implications for the future of the K-12 system. It’s about enabling an educational paradigm focused on skills like problem solving, systems thinking, and creativity.”

Rather than map assessments to the academic demands of college, Imbellus works with organizations renowned for skills like creativity or problem solving to investigate the application of these skills in the real world. Imbellus then translates observed skills and attributes into the language of learning science and psychometrics to design complex challenges that bring problem solving contexts to life via abstract, simulation-based assessments.

“We are working to decouple content mastery from the assessment of underlying cognitive skills and abilities in order to learn not just what people know, but how they think,” says Rebecca Kantar, Founder and CEO of Imbellus. “Our long term goal is to re-orient the education system to develop minds that ask the right questions, imagine the next problem to solve, and navigate complex systems. It’s about making good on the promise of public education for all students, not just for the wealthiest 10%.”

Since launching in 2016, Imbellus’ team of learning scientists, game developers, AI/ML engineers, and psychometricians has partnered with researchers at the forefront of assessment and evaluation, including the National Center for Research on Evaluation, Standards, and Student Testing (CRESST) at UCLA.

“In the unprecedented disruption that we find ourselves in, understanding and accurately measuring the myriad of ways in which individuals solve problems will become increasingly crucial in better matching people with jobs. At McKinsey, it has always been important to us to understand how people think, and not just what they know,” says Keith McNulty, Director of Digital & People Analytics at McKinsey & Company, which has partnered with Imbellus since 2017 to pilot their digital, scenario-based assessments as part of the recruiting and hiring process. “Imbellus’ technology is helping us to expand the principles of our case study interviews to a much wider range of talent, providing engaging experiences that expose them to the kinds of problem solving we do, while giving us accurate and detailed information on how they think about problems.”

Rather than assess content knowledge and a limited set of learned skills, Imbellus assessments leverage multi-step, rich scenarios in a natural world simulation environment. Unlike IQ tests or neuroscience games, which focus on working memory, processing speed, or fluidity of thinking, Imbellus assessments are designed to quantify the sort of skills that differentiate human intelligence from machine intelligence, such as critical thinking, decision-making, and metacognition.

The technology platform that undergirds Imbellus assessments guards against cheating and hacking through the use of a virtual world that utilizes AI to generate ever-changing scenarios for test takers to complete tasks, of reliably comparable complexity.

About Imbellus
Imbellus builds simulation-based cognitive assessments to evaluate how people think instead of what they know. Today, we’re partnering with companies known for skills like problem solving, inquiry, analysis, and imagination that are critical to a rapidly changing world of work. Eventually, we’ll replace the standardized tests like the SAT, ACT, and AP exams. By reinventing the way we measure human potential, Imbellus will unlock opportunities to transform education for the next generation. For more information, visit Imbellus.com.

SOURCE Imbellus

Related Links
http://Imbellus.com

Filed Under: Tech

Footer

Recent Posts

  • Dream Labs Raises $90 Million to Build Brains for Everyday Robots
  • Venture Capital Digest, October 19, 2026: Tenstorrent Leads a Day of Major Technology Funding
  • Technology Digest, October 19, 2026: Nvidia’s CPU Push, AI Infrastructure Costs and the Next Chip Race
  • Texas Instruments Targets the Tiny Power Faults That Can Disrupt AI Data Centers
  • d-Matrix Begins Shipping Large AI Inference Clusters as Specialized Compute Gains Ground
  • Cisco and NVIDIA Target the Optical Bottleneck in Growing AI Networks
  • AI’s Next Infrastructure Challenge Runs From Power Conversion to Liquid Cooling
  • Microsoft’s New AI Chip Arrives as Financial Anxiety Clouds the AI Infrastructure Boom
  • Penguin Solutions (PENG) Posts Record FY26 on Memory, Bets FY27 on AI Infrastructure
  • Boost Run (BRUN) Signs $525.6M GPU Deal as Liquid Compute Opens $250M Facility to Finance Compute Before Delivery

Media Partners

  • Market Analysis
  • BareProxy.com
  • App Coding
Why China’s Alleged Memory Chip Breakthrough Should Be Taken With a Grain of Salt
EnergyX’s Trafigura Deal Moves Lithium Extraction From Technology Promise Toward Commercial Scale
Marvell’s New Memory Expanders Target the Economics of AI Inference
AI Financing Fears Are Overrated: Hyperscaler Debt and Nvidia’s Vendor Deals Sit on Real Revenue
HyperCrux Market Analysis: Agent Memory and Local AI Drive Demand for a One-File Multi-Model Database
Small Infrastructure Primitives Run the $700 Billion AI Buildout, and Open Source Is How They Get Adopted
Screening Startup and Product Ideas After a Brainstorm: Four Questions, Money First
An AI Lab Is Paying Up Front for Atlas Energy’s (AESI) Generators as Agentic AI Multiplies Token Demand
Oracle’s Force Majeure Notice on Project Jupiter Shows Where AI Data Center Risk Is Landing
AI Infrastructure Credit Costs Rise as CoreWeave-Tied Bonds Price at 9.25% and China Chipmaker Profits Jump 620%
BareProxy Adds AI Crawler Control That Tells Real GPTBot and ClaudeBot Requests From Fakes
BareProxy Adds Bot Challenges That Make Scrapers Posing as Browsers Solve a Puzzle First
BareProxy Adds Cookie Consent That Holds Back Tracking Cookies Until a Visitor Says Yes
BareProxy Adds Markdown Serving That Turns Markdown Files Into Web Pages With No Build Step
BareProxy Ships Its First Nine Plugins, From Maintenance Pages and CORS to Geo Rules and Rate Limits
BareProxy 0.2.0 Runs WebAssembly Plugins Through the Proxy-Wasm Interface
BareProxy 0.3.0 Writes Its Plugins in Rust, Where a Plugin Adds 15 Microseconds Instead of 42
BareProxy Is an Operating System for Web Traffic: A Small Core and a Long Stream of Plugins
BareProxy Plugins Go WebAssembly, Starting With RenderCache and AI Crawler Control
BareProxy Runs on Linux, macOS and Windows, and One Plugin File Runs on All of Them
Apple's US Link-Out Fee Is Zero Until a Judge Sets It, and Apple Is Asking for Up to 15%
20 Primitive Project Ideas: Tiny Go Engines That Do the Essential 10% of Redis, Kafka and Etcd
40 Projects Worth Building: SQLite for X, Tiny Infrastructure, MCP Tools and Edge Systems
40 Radically Different Infrastructure Primitives, From Reach and Expect to Ignorance and Stop
Counterfactual Store vs. Markov Chains: From Branching State to Reach, an Engine for Possible Futures
Counterfactual Store: A Database That Stores Alternatives, Not Just Facts
Mobile App Performance: The Five Metrics That Decide Retention and Store Ratings
Screening 20 Infrastructure Primitives Money First: Why Distill and Precomputing Survive
Temporal KV: A Key-Value Store That Remembers History
A Background Job Queue in One SQLite File Covers What Most Apps Deploy Redis For

Media Partners

  • AltSql.com
  • Technology Conferences
  • API Coding
AltSql Is a Native Hybrid of Key-Value and SQL, From the Sensor to the Gateway
AltSql Core and AltSql DB Are Now Open Source Under the Apache License 2.0
Introduction
AltSql DB 0.3 Adds Secondary Indexes and Statement Savepoints: A Lookup on a Million Rows Ran 198 Times Faster Than a Full Scan
How It Works
AltSql DB 0.2: SQL and Direct Calls Wrote Byte-Identical Files Over 100,000 Random Steps
AltSql DB Keeps a Whole Fleet in One File and Reads by Key 5 Times Faster Than SQLite Through SQL
AltSql Core and Six Prototypes Built Around It
AltSql Ask Puts One SQL Question to 500 Simulated Machines and Brings Back Only the Answers
Machine Monitoring Case Study: Overheat Alarm Handled on the Sensor While Wi-Fi Was Down
International Test Conference 2026, October 11–16, Grand Hyatt San Antonio River Walk, San Antonio
AUSA Annual Meeting & Exposition 2026, October 12–14, Walter E. Washington Convention Center, Washington DC
SEMICON West 2026, October 13–15, Moscone Center, San Francisco
Fal.Con Europe 2026, November 2–4, Fira Gran Via, Barcelona
A3 International Robot Safety Conference 2026, November 3–5, Huntington Place, Detroit
Humanoids Summit Silicon Valley 2026, December 1–2, San Mateo County Event Center, San Mateo
Sohn London Investment Conference 2026, November 18, London Marriott Grosvenor Square, London
SuperReturn Secondaries North America 2026, November 17–18, Convene 360 Madison, New York
Singapore FinTech Festival 2026, November 17–20, Singapore Expo, Singapore
SuperReturn Europe 2026, November 3–6, Hotel Okura, Amsterdam
Idempotency Keys: How One Header Stops a Retry From Charging a Customer Twice
A Tiny ETL Binary Competes With curl, jq and SQLite in a Cron Job, So Build It That Small
An AI Agent Flight Recorder Belongs in One Portable File, the Way HAR Did It for HTTP
Benchmarking MCP Servers and Stateful API Workflows: Latency, Throughput and Tokens per Call
Diagnose a Slow API From One Request: DNS, Connect, TLS, Server Wait and Transfer
Finding API Endpoints, Tables and Flags Nobody Uses Takes Code and Traffic Together
Fuzzing MCP Servers: Generate Bad Arguments From the Tool Schema and Watch What Breaks
Give Any API a History: Poll It, Hash It and Query Old Versions With SQL
Infer Your API's Real Contract From Traffic, Then Diff It Against the Docs
Keeping Third-Party API Responses in SQLite Gets You a Cache, an Offline Mode and a History

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography