Accel is an early and growth-stage venture capital firm that powers a global community of entrepreneurs. Accel backs entrepreneurs who have what it takes to build a business.  Accel’s vision for entrepreneurship and business enables it to identify and invest in the companies that will be responsible for the growth of next-generation industries. Accel-backed companies include Atlassian, Braintree, Cloudera, DJI, Dropbox, Dropcam, Etsy, Facebook, Flipkart, Lookout Security, MoPub, Qualtrics, Slack, Spotify, Supercell, Vox Media, and others.

Accel

Valley Capital Partners is an early stage venture capital firm investing in technology-based companies. Key areas of investment focus include enterprise infrastructure, security technology, deep tech sectors such as AI & robotics and technology that solves hard problems at scale.

Valley Capital Partners

Peak XV Partners (Formerly Sequoia Capital India & SEA) is a venture capital and growth investment firm investing across India, South East Asia, and beyond. Peak XV has grown to manage over $9bn in capital across 13 funds and invested in over 400 companies, of which ~40 companies have achieved revenues of over $100MM.

Peak XV Partners

Titanium Ventures identifies and scales the most promising companies across a variety of AI, digital and software sectors by complementing its strong, experienced team with proprietary Data Science insights and its Revenue Acceleration platform.

Titanium Ventures

RapidCanvas

RapidCanvas is an AI platform that combines the precision and automation of AI agents with the deep domain knowledge of human experts to deliver reliable and measurable business outcomes. RapidCanvas is recognized as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction. RapidCanvas works with industry leaders in manufacturing, retail, and financial services to unlock the full potential of AI.

<div>RapidCanvas offers a no-code platform that enables users to develop and deploy AI solutions via a conversational drag-and-drop interface. The platform provides a range of tools for data preparation, feature engineering, model selection, hyperparameter tuning, and model deployment. Users can connect their data using over 300 pre-built connectors to third-party platforms such as MongoDB, Snowflake, BigQuery, and Google Cloud Storage and build AI solutions for various use cases such as API-based predictions or What-If analysis.</div>

Now anyone can become a software developer.

No-code Software

RapidCanvas is a no-code AI platform that enables businesses to build and deploy tailored AI solutions without the need for coding expertise or support from data engineering teams. The platform features an AI-powered conversational interface that guides users through the automated generation of AI models. Users can interact with the platform to create, test, and iterate on AI solutions specific to their business needs, such as demand prediction, inventory management, and risk management.&nbsp;

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

RapidCanvas Raises $16 Million in Series A

<div>
 
 RapidCanvas offers a no-code platform that enables users to develop and deploy AI solutions via a conversational drag-and-drop interface. The platform provides a range of tools for data preparation, feature engineering, model selection, hyperparameter tuning, and model deployment. Users can connect their data using over 300 pre-built connectors to third-party platforms such as MongoDB, Snowflake, BigQuery, and Google Cloud Storage and build AI solutions for various use cases such as API-based predictions or What-If analysis.
 
 
 The platform provides a generative AI co-pilot that enables users to generate data applications and dashboards to explain their AI models. Furthermore, the company claims to improve operational efficiency by 35%.
 
 
 Key customers and partnerships
 
 
 The company caters to the manufacturing, real estate, and financial services industries. As of March 2024, its notable customers included MTE-THOMSON, Chargeback Gurus, AutoFi, SFR3, JP, Kenning, Treetech, Suzlon, and Shield.
 
 
 Funding and financials
 
 
 In March 2024, 
 <a href="https://sp-edge.com/updates/27549">
 RapidCanvas raised USD 7.5 million
 </a>
 in a seed funding round led by Accel.
 
</div>

Index offers a no-code platform for enterprises to build dashboards for internal use to obtain insights on business metrics, investor updates and operation overviews, among others. As of June 2021, the product remains at beta, with a limited early preview. The platform provides prebuilt templates, and also has tools for users to build their own dashboards. The dashboard can be integrated with multiple apps including Hubspot ((customer relationship management data), Stripe (payment data), and Postgres and MongoDB (databases), slack (remote working) and Google Sheets (spreadsheets), among others. The company raised USD 2.6 million in Seed funding in October 2020. It intends to invest the funds in hiring two engineers (in addition to the two founders) and continuing to refine and develop the product. The founders aim to reach USD 1 million in annual recurring revenue (ARR) and expand their product distribution.

Index

<div>
 
 Stencyl offers a drag-and-drop no-code platform that enables users to create and publish web and mobile games. Users can build their game logic using the platform&rsquo;s pre-built code blocks, design visual elements via an in-built graphics editor, and publish across a range of platform&rsquo;s such as IoS, Android, Windows and Mac. Moreover,&nbsp; Stencyl also enables users to embed ads into their games as a secondary source of revenue.&nbsp;
 
 
 Key customers and partnerships
 
 
 As of February 2024, Stencyl was used by over 500,000 registered developers. Apps created on Stencyl have reached top slots in the Apple App Store and Google Play, and its most successful web games have been sponsored by major publishers including ArmorGames, Kongregate, and Newgrounds.
 
</div>

Stencyl

Universe offers a no-code platform for users to build websites that can be added to social media pages. Websites can be built using drag and drop blocks to add images, videos, and other content to create a mobile-first website. The Platform offers creative controls, 30 pre-made themes, and block features to allow users to create a custom site and/or open an e-commerce store directly from a mobile phone.The company began as a landing page builder and progressed to developing websites, which include tools for adding shopping blocks. Universe targets micro businesses that are not tech-savvy.<a href="https://sp-edge.com/updates/20509">In July 2023 </a>, Universe launched the beta version of Generative Universe Sites (GUS), an AI-powered website designing tool. This solution provides a conversational interface for users to dictate their requirements for a website and then generates a customized web page.Funding and financialsIn December 2021, Universe raised USD 30 million in a Series B funding round led by Addition to develop the company’s block-based system for website building named “GRID,” expand its commercial offering for startups, and extend GRID to more platforms and devices. Additionally, the company used the funds to expand its reach in new markets and grow its employee base.

Universe

Readymag is a web-based drag and drop tool that enables users to create websites, presentations and digital magazines. Its customers include large enterprises such as AirBnB, Forbes, Esquire, and IDEO.

Readymag

UserGuiding is a user onboarding tool that helps create interactive guides for customers. Functions include user onboarding, feature adoption, in-product messaging, and customer feedback, among others. As of September 2020, the company had over 2,000 global enterprise clients. UserGuiding raised USD 1.1 million in seed funding in August 2020, which it intends to use to expand its operations by increasing its workforce, accelerating global expansion, and enhancing product development.

UserGuiding

Allows users to create apps for their own businesses by using their data and ideas and converting them into apps to improve their workflow.

Platforms that allow users to create online/mobile games in a no-code environment.

Platforms and tools that enable users to build mobile-based apps using templates and tools (widgets) in a visual environment.

Platforms that let users create workflow and process management systems in a spreadsheet format integrating with databases. This also includes data science tools, which enable users to run predictive analysis on data sets through drag-and-drop functions using artificial intelligence (AI) technology.

Tools that allow users to build websites, ranging from blogs to e-commerce sites, in a visual environment without the need for coding. Often has no-code tools to integrate with other online tools, such as payment gateways.

Companies that use GenAI as a core part of their no-code product offering

Offers solutions for building internal applications and automations for enterprises

Many solutions enable users to leverage AI/ML for predictive analytics

Offers solutions for building enterprise-specific applications and automations

Some solutions leverage GenAI to enable users to build application and website templates without coding

RapidCanvas is a no-code AI platform that enables businesses to build and deploy tailored AI solutions without the need for coding expertise or support from data engineering teams. The platform features an AI-powered conversational interface that guides users through the automated generation of AI models. Users can interact with the platform to create, test, and iterate on AI solutions specific to their business needs, such as demand prediction, inventory management, and risk management.&nbsp;RapidCanvas provides a three-stage process: ata preparation, autonomous model building, and explainable results. RapidCanvas is an enterprise-grade platform, SOC2 compliant and built on a scalable, secure cloud infrastructure. It seamlessly integrates with over 300 databases, applications, and libraries.In addition, the company offers AskAI, a purpose-built, intelligent, conversational assistant for teams to extract and present actionable insights from enterprise data, using simple natural language prompts.Key customers and partnershipsIts notable customers include PayPal, AutoFi, Suzlon, Charles King, and MTE THOMSON.Funding and financialsIn March 2024, the company emerged from stealth with a USD 7.5 million <a href="https://sp-edge.com/updates/27548">seed</a> funding round led by Accel. It did not disclose the use of proceeds.

Datagen provides a self-service synthetic data platform that generates visual synthetic data of humans for computer vision applications. The platform allows users to write their own code to generate labeled synthetic data for faces, full body, and humans in motion in the form of images and videos to test and train AI models while retaining complete control over the data. The data covers a range of computer vision tasks including face landmark detection, face and hair segmentation, facial recognition and identification, full body pose estimation, full body segmentation, and behavior detection.Key customers and partnershipsThe company serves three of the top five global technology companies and Fortune 500 companies across the automotive, smart fitness, AR/VR/metaverse, smart office, and home security industries. Its notable customers include Google, Toyota, NVIDIA, IBM, and Intel.Funding and financialsIn March 2022, the company raised USD 50 million in a Series B funding round led by Scale Venture Partners. The funds were utilized to bolster its position in the market.Datagen reported to have recorded 8x growth in revenue in 2022.

Datagen

Weights &amp; Biases offers a platform that allows users to build models with experiment tracking, data set and model versioning, data visualization, hyperparameter optimization, and model management. The platform enables users to automatically retrain and re-evaluate models and centrally manage all model versions through every lifecycle stage—from development to staging to production. It also helps to visualize comparisons between model versions to evaluate performance and identify regressions before model deployment. It also offers toolkits such as <a href="https://sp-edge.com/updates/19172">W&amp;B Weave and W&amp;B Production Monitoring </a>to build and monitor data- and ML-powered applications, respectively, through interactive visualizations.The company also offers a <a href="https://sp-edge.com/updates/17880">suite of tools (W&amp;B Prompts) </a>to support large language model operations (LLMOps). W&amp;B Prompts includes tools and features for experiment tracking, debugging, and collaboration, as well as a one-click method to evaluate and score prompts through the OpenAI Eval’s framework.The company provides the platform through a free tier and under a subscription model for up to USD 50 per user per month.Key customers and partnershipsWeights &amp; Biases served more than 700,000 ML practitioners as of August 2023. Its notable include NVIDIA, Toyota, BMW Group, Samsung, Fujifilm, Truebill, and Clear Capital.The company has <a href="https://sp-edge.com/updates/18663">partnered with Lambda </a>, a GPU cloud computing provider, to offer its MLOps platform integrated with the infrastructure services of the latter, catering to enterprises dealing with AI and deep-learning workloads.Funding and financialsIn August 2023, the company raised <a href="https://sp-edge.com/updates/20874">USD 50 million in a strategic investment </a>round at a valuation of USD 1.25 billion, led by Daniel Gross and Nat Friedman. The round also saw participation from Sapphire Ventures, Coatue, Insight Partners, and other investors. The company aimed to utilize the fresh funds to further develop its ML tools, including the launch of W&amp;B Prompts.

Weights & Biases

BentoML offers an open-source platform called Bento Cloud, for the deployment and scaling of AI applications. It is a fully managed platform that handles the complexities of AI infrastructure, providing serverless autoscaling as required during the development and production stages. The platform helps to ship models to production with advanced deployment options including online and shadow A/B testing, while also providing visibility through model performance monitoring. The platform integrates with an organization’s existing data stack and enables users to continuously deploy and improve models in production. The company offers its platform through a combination of subscription and usage-based model.In addition, BentoML also provides the following open-source platforms: 1) Yatai, for model deployment on Kubernetes and 2) bentoctl, for model deployment on any cloud platform.Key customers and partnershipsAs of January 2024, BentoML reported that over 1,000 organizations, comprising more than 3,000 members, use its platform. Its notable customers include Koo, Open Layer, Line, and Naver.The company entered into a strategic partnership with TomTom, a developer of location technology, to help integrate with various models as well as in LLM deployments.Funding and financialsThe company raised <a href="https://sp-edge.com/updates/19684">USD 9 million in seed funding </a>in June 2023 led by DCM Ventures, with participation from Bow Capital. It aimed to channel the newly acquired funds to enhance its platform and offer developers a range of tools for building, deploying, and scaling AI applications efficiently.

BentoML

Iguazio provides a serverless platform based on its open-source Nuclio framework that helps users to develop, deploy, and manage real-time AI applications without requiring them to manually manage underlying infrastructures such as servers and storage. The platform creates real-time intelligence for applications located at the edge, public cloud, and on-premise data centers and reduces bandwidth constraints by consolidating data into a repository and making it available for applications as required. The platform can ingest and transform data from any source, which is then used to train, evaluate, deploy, and monitor models in production.The company leverages Big Data and ML software such as Apache Spark, TensorFlow, and Kubernetes to manage software containers that enable applications to run across different computing environments.Key customers and partnershipsIguazio serves customers in the financial services, telecommunications, smart mobility, manufacturing, retail, AdTech, gaming, healthcare, energy, and utilities sectors. Notable customers include Samsung, Microsoft, NVIDIA, AWS, Google, and Intel.Funding and financialsIn January 2020, the company raised USD 24 million in a funding round led by INCapital Ventures. The funds were utilized to accelerate its growth, expand its reach into new global markets, grow sales, and facilitate new sales channels that include companies such as Dell Technologies

Iguazio

Cogito Tech provides image and video annotation to generate computer vision training data sets for ML &amp; deep learning (DL). The video annotation solution leverages AI-powered tools to convert video into a sequence of images and generates training data sets for ML-based AI models, including self-driving cars and drones. The AI model understands and derives insights from visual data to detect, identify, classify, and track objects in an image or video. Cogito also provides virtual assistants and chatbots to help users in the process of training ML algorithms. Cogito Tech also provides high-quality, ethically sourced datasets that are compliant and reliable to train ML models.In addition, the company provides services to fine-tune LLMs and GenAI applications through reinforcement learning techniques as well as stress test models through red teaming.Key customers and partnershipsAs of December 2022, the company served more than 150 customers across 25 countries in the retail, medical, automotive, agriculture, robotics, smart cities, security, and manufacturing industries. Notable customers includes Verizon Media, The University of Sydney, National Geographic, Tumblr, and Vimeo.

Cogito Tech

Platforms and frameworks that help developers build and train ML models.

Platforms that deploy and host the trained and tested models in production and integrate them into applications through APIs.

Platforms that generate artificial data that mimics the characteristics of real data, which is then used to train ML models at scale.

Platforms that help monitor and manage ML models in training and deployment to track performance, conduct variance analysis, and optimize performance.

Makers of hardware such as CPUs, GPUs, and other application-specific hardware required to train and run ML workloads.

Integrated solutions that handle the end-to-end processes of developing, training, deploying, and monitoring ML models.

Data exchange providers and platforms that offer data labeling services via manual and/or software methods, which are used as input to train ML models.

Includes companies that provide infrastructure to build AI/ML applications

Provides tools to build, monitor, and deploy GenAI applications

Industry is focused on offering platforms for other businesses to build AI-/ML-powered apps

<div>
 
 RapidCanvas, an AI platform, has raised USD 16 million in a Series A funding round. The round, led by Peak XV, also saw participation from Titanium Ventures and initial investors Accel and Valley Capital Partners. The funding takes RapidCanvas' total investment to USD 23.5 million since its inception in 2021.
 The financing will facilitate the acceleration of the company's mission, which is to make reliable and efficient AI transformation accessible to a larger number of enterprises.
 Rapid Canvas states that its AI agents can automate approximately 75% of complex tasks that are traditionally taken care of by data scientists and engineers. The platform uses a hybrid approach that combines AI agents with human expertise, typically needing just one or two expert engineers instead of 10 as seen in traditional firms.
 
</div>

RapidCanvas

About EDGE

Contact Us

Resources

Area of Focus

Technology Research Made Effortless