HumanLayer is an API and SDK that lets AI agents contact humans on slack/email when they need approval, feedback, or input. For example, if an AI Agent elects to send an email to a prospect or update production data, AI engineers can require human approval on that action.
We help surgeons automate medical scribing, patient intake, insurance letters, and more, all directly integrated within their EHR.
Bramble is an AI-powered real estate brokerage that provides end-to-end homebuying services for a simple flat fee. Set up tours, evaluate homes, submit offers, and close confidently — with on-demand support from expert agents and AI-backed tools when you need it.
Tired of switching tabs to cursor every time you’re building your iOS app in Xcode? Worry not! Alex is a sidebar app that works directly with Xcode, and has the same Cmd+L, Cmd+K, and Apply Code commands as Cursor. And, it’s super fast.
Dexter is a no-code automation tool for ops team. For example, Dance, a European mobility company with over $11 million ARR, uses us to automate processes like resolving traffic tickets and accidents.
Still running critical processes out of spreadsheets and Slack? With Dexter you can automate and add AI to your processes, while keeping a human in the loop when needed.
Build processes without code
Use our intuitive workflow builder to create and modify the business logic behind your processes. No engineering needed.
Chat with Manicode to edit your codebase. It’s like a junior engineer at your command, but faster! Get it now:
> npm install -g manicode
Run `manicode` from your project directory. It will read and write to files in your project to produce the code you want. Manicode is different from all the other coding agents, we swear!
We’re excited to launch our first product that allows your AI voice agents to accept payments easily and securely over the phone. We manage compliance, security, and fraud, letting you focus on creating great experiences. We are setting the stage for the agentic economy, starting with voice payments. Web and agent-to-agent transactions coming soon.
Astrix offers an SDK designed for health tech developers to create safer, more reliable LLM applications. Our platform helps identify clinical safety issues, generate synthetic medical data, and conduct thorough application testing, allowing developers to quickly deliver powerful, safe generative AI solutions that benefit patients and providers alike.
Are you building AI voice agents like receptionists, customer support, or sales reps? Do you find yourself manually testing your bot by calling it? We faced similar challenges, especially being in a regulated industry. That’s why we developed Vocera — a solution that automates the testing process for your voice agents. With Vocera, you can prove your reliability before going live, test every update seamlessly, and scale your operations efficiently. Replicating a real world conversation is hard. Our AI simulates these scenarios using workflows, personas and past conversations. We are already talking to AI for ordering food, getting appointments and even interviews. The market is aptly getting flooded with AI voice agents built by thousands of companies. We make them dependable.
Sandra builds multilingual voice AI receptionists, specifically designed for car dealerships. It seamlessly handles customer calls — whether for appointments, service details, availability, or more — offering a natural, human-like experience 24/7. What sets Sandra apart is its deep integration with dealership management systems, allowing it to manage even the most complex queries. This ensures no calls or leads are missed, boosting both customer satisfaction and team efficiency. The car dealership industry handles over 3 billion calls annually, with each call averaging 4 to 6 minutes. Traditional call centers charge between $1 and $2 per minute, depending on the complexity of the service. Thus, we estimate the total addressable market for inbound calls alone to exceed $26 billion a year. This does not even account for future opportunities in outbound calls. Before launching Sandra, the founding team spent years working in the automotive and call center industries during their time at McKinsey. The three co-founders graduated in Data Science and AI from institutions like MIT, Ecole Polytechnique and HEC Paris.
Supercontrast makes it easy for anyone to evaluate machine learning models. For example, we could help a small social media app find the best cloud solution for identifying hateful comments and deploy it the same day!
Model Hub for Open & Closed Source
Supercontrast helps developers test and deploy deep learning models across all major cloud providers.
You’ve likely heard, “This call will be recorded for training and monitoring purposes.” Usually, this means a person listens to the call, takes notes, and identifies compliance issues while also coaching the customer service representative. We believe large language models can perform quality assurance more efficiently, accurately, and cost-effectively. That’s why we’re building infrastructure to handle quality assurance for both human customer service agents and AI agents.
Developers have scattered yet heavy touchpoints that represent adoption and buying intent. We aggregate and make sense of these interactions across open and closed developer channels using AI Agents. This enables us to monitor dev tool adoption and generate highly qualified developer leads that we enrich and update in real time.
We make software to automate call shift scheduling for hospital residents/faculty and generally help hospital administrators keep track of their departments. Hospitals have long lists of requirements and rules they must follow, leading administrators to spend hundreds of hours a month ensuring their departments adhere to guidelines.
