Haven't heard about Locusive? See how it all works in 90 seconds below:
Locusive
Software Development
New York, NY 142 followers
Locusive helps your CS team get answers, find data, and crunch numbers in seconds. No SQL. No fuss.
About us
Hi, welcome to Locusive! We're building an AI copilot to help customer success teams spend less time on pulling and analyzing data. Our system connects into your existing data sources and answers your questions with the information in that data. We've helped customer success teams: - Spend less time waiting for their data or tech teams to get them a query - Pull more (and more relevant) information from their databases and product dashboards than they could themselves - Find hidden pieces of data that help them better prep for their QBRs and EBRs. If you're tired of wasting time with data retrieval and analysis, or you just want to learn more about how AI can help you find the information you need: Send us a DM. We're always happy to answer questions.
- Website
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https://www.locusive.com
External link for Locusive
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2023
- Specialties
- ChatGPT, Large Language Models (LLMs), Software, AI, and Data
Locations
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Primary
New York, NY, US
Employees at Locusive
Updates
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We just updated our analysis of the best LLMs for autonomous agents to include #oMini from OpenAI. The results were.... not so good... https://lnkd.in/eaeNw4Tp
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As part of our ongoing efforts to improve our data copilot, we recently conducted an analysis of how different LLMs affect our speed, accuracy, and cost. We've decided to publish our findings here, with some surprising results. You might be surprised to see which model and provider topped our charts as the most accurate, cost-effective, and speedy model to power our agent. Our analysis compared: - ChatGPT from OpenAI - #Gemini Pro and Flash from Google - #Llama3_1 from Groq - #Llama3_1 from Fireworks AI - #Claude3_5 from Anthropic - #Llama3_1 from SambaNova Systems - #Llama3_1 from Cerebras Systems All tests were run within the context of our existing test suite, which mimics how our customers use our AI copilot in a real world scenario. We'd love to hear if you're seeing similar things in your own #agent or #copilot. Also, if you're interested in learning more about building performance driven evaluation frameworks for Gen AI applications, check out what Kevin Dewalt and Prolego are doing.
The Best LLMs For Autonomous Agents: A Comparison Across Accuracy, Speed, and Cost
Locusive on LinkedIn
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Locusive reposted this
We talk a lot about using AI with your own data, and here's a concrete example of how. In this video, our founder shows you how you can leverage our Notion integration to create new social media posts with a more compelling writing style based on your previous social media posts.
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This morning we sent out our first updates email in a while. There's some good stuff in here, including: • Announcing you no longer need to use your own API key with Locusive • Existing free tier customers get 50 free requests a month • We've gotten rid of our waitlist and are now offering free trials to SaaS CSM teams • Several new product features, including the ability to use Locusive with your database • Our latest article on using AI with your database You too can get this email straight to your inbox by subscribing anywhere on https://www.locusive.com or dropping us your email in a message. Are we asking you to subscribe to another email? Yes. Are we saying we'll never spam you. Well, one person's spam is another company's marketing email 😇, but we promise to try our best to only bring you important updates and our best articles!
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Over the past year, we've done a lot of work to optimize our AI assistant for retrieving and analyzing information. While we've written a few posts (https://lnkd.in/eWDVAM9R and https://lnkd.in/eUunyVzd) about it, we wanted to summarize our key takeaways below. If you're interested in using AI for your own internal data sources, let us know!