Shakudo

Overview
News
Generative AI Infrastructure?
Product stageSegments
Early
?
Integrated LLMOps solutions
?

Shakudo offers a solution that empowers enterprise data science and machine learning teams to create, develop, test, and launch AI products. It was established by a team of AI experts who have worked on AI projects at Georgian Partners, Borealis AI, and Bank of Montreal (BMO). 

The Shakudo platform is designed as a comprehensive data and AI operating system that enables end-to-end development, from building and running data pipelines and applications to deployment and scaling. The platform supports a variety of tools and frameworks, such as Python, pandas, TensorFlow, Spark, Dask, and Ray. It aims to reduce maintenance, streamline deployment, and facilitate data scientists and engineers in accelerating their projects from development to production. 

The platform distinguishes itself by focusing on DevOps automation and supporting approximately 90 data and AI stack components (July 2023), many of which are open source. 

Key features of the Shakudo platform include 

1) Natural Language to SQL feature: Allows users to interact with databases using natural language instead of SQL

2) Shakudo LLM + RAG Stack: Designed to combine an LLM with a vector database to provide personalized, real-time data solutions, addressing limitations like static knowledge bases in other systems

3) Reverse ETL service: Enriches and transfers AI-processed data into business systems like CRM and ERP. It integrates data from multiple sources, transforms it using AI without compromising security, and streamlines data workflows for enhanced business insights. 

Clients utilize Shakudo's platform for various applications, such as implementing LLMs, summarizing analyst research, structuring unstructured text, identifying weapons in security camera footage, classifying waste through computer vision, generating digital replicas of physical assets, and predicting energy consumption. 

Key customers and partnerships

Shakudo’s clients include companies like Quantum Metric, QuadReal, RiskThinking, Ritual, EnPowered, and ZeroEyes. 

Notable partners of Shakudo include Oracle, NVIDIA, and Cyxtera. Furthermore, in June 2023, Shakudo partnered with Databento to provide developers with enhanced resources for constructing applications capable of handling substantial amounts of financial data, examining market patterns, and delivering valuable insights for businesses.

Funding and financials

In July 2023, Shakudo raised CAD 9.5 million (~USD 7.2 million) in a Series A funding round. The company planned to utilize the funding to expand the engineering, sales, marketing, and operations teams, with a focus on streamlining data transformation, optimizing cloud costs, and automating DevOps tasks.

HQ location:
229 Yonge Street Suite 400 Toronto ON CAN
Founded year:
2021
Employees:
11-50
IPO status:
Private
Total funding:
USD 10.5 mn
Last Funding:
USD 7.2 mn (Series A; Jul 2023)
Last valuation:
-
Key competitors
Filter by the segments to which the disruptor belongs
All Segmentsexpand
 
Loading...
Loading...
Loading...
Loading...
Product Overview
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
Product Metrics
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
Company profile
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
Funding data are powered by Crunchbase
arrow
menuarrow
Click here to learn more
Get a demo

By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.