Initially aiming for $2 billion, the company has now secured greater backing from investors, including Lightspeed Venture Partners, General Catalyst, Bessemer Venture Partners, and Abu Dhabi-based MGX. 

This latest investment will bring Anthropic’s total funding to approximately $18 billion.

Even with its growing revenue, which now stands at around $1.2 billion annually, Anthropic is not yet profitable. The company plans to use the funds to further its AI research and development efforts, particularly in creating more advanced models.

Anthropic has also launched Claude 3.7 Sonnet, a new AI model that allows users to choose between instant responses and deeper, more complex reasoning. Unlike traditional AI chatbots that force users to pick between models with varying capabilities, Claude 3.7 Sonnet integrates both functionalities in a single system.

According to Anthropic, the model’s unique feature is its ability to “think” for as long as needed. This approach is just like human reasoning, where some questions require quick answers while others demand more thoughtful consideration. 

“Similar to how humans don’t have two separate brains for questions that can be answered immediately versus those that require thought,” the company stated in a blog post, “we regard reasoning as simply one of the capabilities a frontier model should have, to be smoothly integrated with other capabilities, rather than something to be provided in a separate model.”

Pricing and Performance

The Claude 3.7 Sonnet model is priced at $3 per million input tokens and $15 per million output tokens, making it more expensive than some competitors, such as OpenAI’s o3-mini and DeepSeek’s R1. However, Anthropic says that its hybrid nature—combining standard chatbot functions with deep reasoning—justifies the cost.

Performance tests show Claude 3.7 Sonnet surpassing previous versions. On SWE-Bench, a benchmark for real-world coding tasks, it achieved an accuracy of 62.3%, outperforming OpenAI’s o3-mini model, which scored 49.3%. 

Another test, TAU-Bench, measured AI interaction with users in a simulated retail environment, where Claude 3.7 Sonnet scored 81.2%, ahead of OpenAI’s o1 model at 73.5%.

Again, Anthropic claims to have greatly improved the model’s ability to distinguish between harmful and harmless prompts, reducing unnecessary refusals by 45% compared to its predecessor, Claude 3.5 Sonnet.

Alongside Claude 3.7 Sonnet, Anthropic is launching a research preview of Claude Code, an AI-powered coding assistant. This tool allows developers to execute tasks directly from their terminal, such as modifying codebases, debugging errors, and even pushing updates to GitHub.

Illustrating its abilities, an Anthropic representative showed how Claude Code could break down a project’s structure and suggest improvements using plain English commands. Initially, access to Claude Code will be limited and granted on a first-come, first-served basis.

While Anthropic has taken a measured, safety-focused approach in the past, this launch seems to be a more aggressive innovation. However, OpenAI is reportedly preparing to release its own hybrid AI model in the coming months, bringing even fiercer competition in the space.

This advancement, coupled with the accessibility of voice models on consumer mobile devices, has spurred growing interest among enterprises aiming to automate business-to-customer interactions. 

However, deploying and scaling voice agents can require months, if not years, of specialized engineering.

Helping enterprises overcome this challenge, Vapi, a developer platform for deploying Voice AI agents, has raised $20 million in Series A funding, led by Bessemer Venture Partners with participation from Abstract Ventures, AI Grant, Y Combinator, Saga Ventures, and Michael Ovitz. 

This investment will enable the company to expand its engineering team, scale its infrastructure, and reach new enterprise customers.

Founded in 2023 by Jordan Dearsley (CEO) and Nikhil Gupta (CTO), Vapi is on a mission to “bend the arc of technology back to the human voice,” Vapi is building the infrastructure necessary to enable this voice-first future. 

Through its flexible API and developer platform, customers can scale to handle millions of calls using voice agents in a couple of weeks.

Recognizing that every business has its own unique workflows and integrations, Vapi takes a developer-first approach. It provides APIs for engineering teams to design custom conversation flows, integrate their CRMs and EHRs, and incorporate Vapi’s voice agents into existing enterprise telephony systems.

Jordan Dearsley, CEO of Vapi commented: “Consumer-facing companies run on voice. To scale their revenue, they need to scale their voice operations. But, people don’t scale. You can try using an IVR (interactive-voice responses) system, but they sound robotic, and people just smash zero until they can talk to a person. With generative voice models, it’s flexible like a human and it can scale to millions of calls.”

Since its launch, Vapi has experienced remarkable growth, scaling to millions in revenue within its first six months. 

The company has partnered with businesses across various industries—including finance, healthcare, and travel—demonstrating the versatility and effectiveness of its voice AI technology. A few of Vapi’s customers include Mindtickle, Luma Health, Ellipsis Health, and Gestionadora de Créditos.

“Apple Intelligence and Google Gemini are poised to onboard 4 billion people to voice assistants that truly converse like humans. This marks a new beginning for voice as the world’s default interface. Consumers will want voice agents everywhere, and enterprises need a platform to deploy them. This funding will allow us to scale our team and infrastructure to meet the growing demand for AI voice agents” added Jordan Dearsley. 

“We chose Vapi to power our Voice AI strategy because of its mature platform and outstanding capabilities. It enables seamless integration, helping us deliver solutions to our customers in record time. Vapi is far ahead of any other platform—simple, powerful, and it just works.” Said Marcelo Oliveira, SVP of Engineering at Luma Health

“Vapi is emerging as the leading developer platform for conversational voice agents, helping enterprises deploy agents that solve their unique business problems without having to worry about managing the underlying models and infrastructure,” said Mike Droesch, partner at Bessemer Venture Partners. 

“We are impressed with their outstanding developer love, rapid growth, and focus on building a world-class product. We look forward to helping them continue to redefine how people interact with technology.”

“Just as developer platforms helped power the meteoric rise of cloud software over the past decade, we are thrilled to be partnering with Vapi as they help to usher in the next wave of conversational AI applications,” said Byron Deeter, partner at Bessemer Venture Partners. 

“We believe that AI will fundamentally impact every vertical of the economy, with voice agents becoming a core interface for many of these applications.”