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§ Private Profile · Austin, TX, USA
Develops augmented intelligence and machine learning platforms for enterprises in financial services, healthcare, and commerce.
Based in Austin, Texas, CognitiveScale develops an augmented intelligence software platform that utilizes machine learning and natural language processing to build explainable artificial intelligence applications for large enterprises. The company operates a business-to-business software-as-a-service model, providing its Cortex Cognitive Platform to organizations primarily operating within the healthcare, financial services, and digital commerce sectors. The enterprise has scaled its operations to a workforce of approximately 150 employees while filing over 100 patents related to cognitive computing technologies. CognitiveScale has raised $50 million in total venture capital funding, which includes a $21.8 million Series B financing round backed by lead investors Norwest Venture Partners and Intel Capital. Its software infrastructure is deployed by several major corporate customers to solve complex business problems, including institutions such as USAA, Microsoft, and Dell. CognitiveScale was founded in 2013 by Matt Sanchez.
CognitiveScale has raised $40.0M across 2 funding rounds.
CognitiveScale has raised $40.0M in total across 2 funding rounds.
CognitiveScale has raised $40.0M in total across 2 funding rounds.
CognitiveScale's investors include Adverb Ventures, Coelius Capital, Colle Capital, CSC Venture Capital, Dawn Capital, Kevin Ding, Homebrew, Khosla Ventures, LocalGlobe, MMC Ventures, Norwest Venture Partners, Prelude Ventures.
CognitiveScale is an AI software company that builds the Cortex platform, enabling enterprises to develop, deploy, and manage Trusted AI systems—transparent, explainable models that mitigate risks like bias and opacity.[1][2][3] It serves industries including healthcare, financial services, insurance, and digital commerce, helping organizations like USAA, JPMorgan Chase, and MD Anderson solve problems in customer engagement, decision-making, and operational optimization while ensuring regulatory compliance and business risk protection.[1][3][5] Founded in 2013 and headquartered in Austin, Texas, the company was acquired by Tecnotree in December 2022 after raising $41M from investors like Norwest Venture Partners, Intel Capital, and Microsoft Ventures; it pioneered "Trusted AI" with over 164 patents, focusing on hyper-personalization via "Profile-of-One" capabilities.[1][2][3]
As a remote-first firm with 51-200 employees (reported as 98 in some sources), CognitiveScale simplifies AI for data scientists and citizen developers across any cloud or data source, driving growth through industry-specific solutions that emulate human cognition.[1][2][4]
CognitiveScale was founded in 2013 in Austin, Texas, by a team focused on bridging AI's potential with enterprise needs for reliability and ethics, though specific founders are not detailed in available records.[2][3][5] The idea emerged amid rising AI adoption, addressing gaps in "black-box" models by pioneering Trusted AI—responsible systems that prioritize transparency, fairness, and explainability to enable safe scaling in regulated sectors.[1][2]
Early traction came from high-profile clients like USAA and ExxonMobil, bolstered by investments from strategic players including IBM Watson and M12 (Microsoft Ventures).[1][5] Recognition from the World Economic Forum for societal AI impact marked a pivotal moment, leading to 164+ AI patents in data management and beyond; the company expanded globally with offices in New York, London, and Hyderabad before its 2022 acquisition by Tecnotree.[1][3][5]
CognitiveScale stands out in the AI platform space through these key strengths:
CognitiveScale rides the enterprise AI trustworthiness wave, capitalizing on post-2020 regulations like EU AI Act and U.S. executive orders demanding explainable AI amid scandals over biased models.[1][3] Timing aligns with generative AI hype, where enterprises seek safeguards for high-stakes use cases in finance and healthcare, amplified by market forces like data privacy laws (GDPR) and rising AI litigation risks.[2][5]
It influences the ecosystem by setting standards for augmented intelligence—pairing human oversight with AI—via patents and tools that operationalize "responsible AI engineering," enabling safer adoption and pressuring competitors to prioritize ethics over raw performance.[1][3]
Post-2022 acquisition by Tecnotree, CognitiveScale's Cortex platform will likely integrate into telco-driven AI services, expanding Trusted AI to edge computing and 5G personalization for global enterprises.[3] Trends like multimodal AI and stricter regulations will boost demand for its trust scoring, potentially evolving into open standards or partnerships with Big Tech for hybrid clouds.
As AI scales, CognitiveScale's emphasis on transparency positions it to shape ethical deployment, tying back to its founding mission: revolutionizing enterprise AI from risky experiment to reliable powerhouse.[1][2]
CognitiveScale has raised $40.0M across 2 funding rounds. Most recently, it raised $15.0M Series U in June 2017.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2017 | $15M Series U | — | Adverb Ventures, Coelius Capital, Colle Capital, CSC Venture Capital, Dawn Capital, Kevin Ding, Homebrew, Khosla Ventures, LocalGlobe, MMC Ventures, Norwest Venture Partners, Prelude Ventures, Target Global, Andy Rankin, Anshu Sharma, Anthony Soohoo, DON Hutchison, Marc Mccabe, Vishal Makhijani | Announced |
| Oct 1, 2016 | $25M Series B | — | Adverb Ventures, Coelius Capital, Colle Capital, CSC Venture Capital, Dawn Capital, Kevin Ding, Homebrew, Khosla Ventures, LocalGlobe, MMC Ventures, Norwest Venture Partners, Prelude Ventures, Target Global, Andy Rankin, Anshu Sharma, Anthony Soohoo, DON Hutchison, Marc Mccabe, Vishal Makhijani | Announced |