Recogni

Recogni

B2B data storage, access, and analytics

Overview

Recogni provides data storage and access services for electronic communications in a B2B setting, helping clients store and retrieve data necessary for network operations. It stores user preferences to tailor experiences and supports data analysis by producing anonymized statistical insights for clients. The service emphasizes privacy and data protection, offering anonymous data processing to meet privacy requirements. The goal is to help clients run reliable networks and improve user experiences while generating privacy-protected, actionable insights.

About Recogni

Simplify's Rating
Why Recogni is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

Company Size

51-200

Company Stage

Series C

Total Funding

$175.9M

Headquarters

San Jose, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Juniper Networks invested $102M in February 2024 Series C.
  • DataVolt partnership integrates low-power chips into AI data centers.
  • $60M revenue run-rate maintained post-2023 CEO Marc Bolitho transition.

What critics are saying

  • Nvidia's 90% Blackwell GPU dominance blocks hyperscaler adoption now.
  • Groq LPUs deliver 10x faster inference, eroding partnerships immediately.
  • TSMC 7nm delays from Nvidia push data center launch 18 months.

What makes Recogni unique

  • Recogni's Pareto AI math achieves FP16 accuracy without model retraining.
  • Scorpio chip delivers one petaflop vision inference at 500x power efficiency.
  • Logarithmic number system optimizes adds and multiples for AI inference.

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Funding

Total Funding

$175.9M

Above

Industry Average

Funded Over

3 Rounds

Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Above Average

Industry standards

$50M
$50M
Medium
$62M
SeatGeek
$100M
Oura
$102M
Recogni

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

1%

2 year growth

1%
EE Times
Sep 16th, 2025
AI Chip Startup Recogni Rebrands As Tensordyne

SANTA CLARA, Calif. - At the AI Infra Summit, AI chip startup Recogni announced it has rebranded as Tensordyne and released some details of its forthcoming data center AI product.

InsideHPC
May 30th, 2025
Recogni and DataVolt Partner on Energy-Efficient AI Cloud Infrastructure

As part of the heterogeneous compute strategy, DataVolt is partnering with Recogni to integrate Recogni's low-power inference systems to power its next-generation AI data centers.

Unable to determine - website not found in search results
Nov 14th, 2024
Juniper Networks invests £80.4M in AI inference company Recogni

Artificial intelligence (AI) Native Networking company, Juniper Networks, has invested £80.4 million ($102 million) in AI inference company, Recogni, to advance AI inference capabilities.

PR Newswire
Nov 12th, 2024
Juniper Networks and Recogni Announce Venture Funding and Collaboration for High Performance, Energy-Efficient and Cost-Effective Multimodal Generative AI Inference Systems

/PRNewswire/ -- Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native Networking, and Recogni, the Generative AI Inference company, have jointly...

eeNews Europe
Nov 12th, 2024
Recogni's $102M AI Funding with Juniper

Recogni has secured $102 million in a Series C funding round, with participation from Juniper Networks. The collaboration aims to enhance AI inference compute for hyperscalers and enterprises, focusing on energy efficiency and performance. Juniper's CEO, Rami Rahim, highlighted the importance of cost-effectiveness and power efficiency in AI innovation. Recogni's CEO, Marc Bolitho, emphasized the potential for running large models with unprecedented speed and accuracy.

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