5 New Machine Learning Dev Tools
MindsDB, LangChain, Qwak, Coactive AI and Dashbot are some of the New Dev Tools in the ML Space
MindsDB builds an intelligence layer between disparate data sources and AI frameworks, so developers can ship enterprise-ready AI-powered applications. The tool simplifies the process of applying ML to applications by abstracting LLMs, time series, regression and classification models as virtual tables. That enables teams to use familiar SQL statements to interact with AI tables, which increases ML development and management accessibility within organizations. With a mission to “Build AI applications fast”, MindsDB, through open source and fully managed cloud versions, allows rapid prototyping and evaluation of AI agents and workflows and the publishing of AI agents directly into applications with zero infrastructure setup.
Based in Berkeley, CA, the company raised US$54M in total funding, including US$16.5M from Benchmark in February 2023, US$25M from Mayfield Fund and TQ Ventures in June 2023 , and additional investments from Walden Catalyst Ventures, Y Combinator, NVentures and Open Ocean, among others.
LangChain is a framework for developing applications powered by language models which provides abstractions for working with LLMs as well as chains - structured assemblies of components for accomplishing higher-level tasks. The tool is comprised of several modules, which allow:
Interfacing with language models
Interfacing with application-specific data
Chaining to construct sequences of calls
Building of agents which let chains choose which tools to use for given high-level directives
Maintaining application state between runs of a chain
Logging and streaming of intermediate steps of the chains
The company also offers LangSmith, a development platform to manage every step of the application lifecycle.
With headquarters in San Francisco, CA, LangChain raised US$10M from Benchmark in March 2023 and US$20M from Sequoia in April 2023.
Qwak is an all-in-one MLOps platform that unifies ML engineering and data operations, providing infrastructure that enables continuous productization of ML at scale. With the tagline “Say Goodbye to Complex ML Ops”, features provided by Qwak include:
Feature Store, which facilitates the discoverability, reuse and accuracy of features for ML and delivers better and more accurate data for models at any stage of the pipeline
Model Registry, which standardizes the ML project structure and automatically generates versions for data, code and parameters on every model build
Model Deployment, with advanced metrics, logging and alerting capabilities
Model Monitoring, which collects, stores and analyzes the model data centrally to fully monitor inference, feedback and baseline data
Pipeline Orchestrator, which configures triggers and takes action based on model layers such as infrastructure, data and statistics.
With headquarters in Tel Aviv, Israel, Qwak’s mission is to simplify the AI delivery process by enabling data scientists to build, train and deploy models in a frictionless manner. The company last raised a US$12M Series A in March 2023 from investors including Bessemer, Leaders Fund, Stage One and Amiti.
Coactive AI brings structure to unstructured data and helps companies make image and video data useful. Its product uses pre-trained ML models to provide a rough understanding of visual content and a proprietary learning system to develop more specialized visual concepts and power trend analysis, content moderation and search.
It can be used to answer questions such as:
Are there more images like this?
How many of these images have been uploaded?
When did this trend start? Is it growing?
Who is uploading images like this?
The tool also allows users to map analytic workflows to proprietary data ontologies, such as existing product catalog or lists of prohibited content with the help of a few manually labeled data points.
Coactive’s purpose is to help companies to leverage user generated content for sales and marketing, drive policies around trust and safety and more efficiently moderate content on their platforms.
Based in San Jose, CA Coactive last raised a US$14M Series A in March 2023 from VCs including Bessemer, a16z, AME Cloud Ventures, SV Angel, Next Play Capital and Exceptional Capital.
Dashbot is an AI-powered conversational data platform for extracting insights from customer interactions at scale. With the tagline “The conversational Data Cloud”, it can:
Integrate and unify disparate data siloes
Transform unstructured conversational data from siloed sources into one platform
Leverage AI to automate the manual review of data and extract insights
Extract insights and create business intelligence
Provide real-time updates and reports to track performance and KPIs
Display the information through a centralized data hub
Based in San Francisco, CA Dashbot last raised a US$6M Series A in July 2023 from Bessemer, ff Venture Capital, Samsung NEXT, BDMI, Runa Capital, and True Equity, among others.