Database of Artificial Intelligence & Machine Learning Companies
Filter and search through our comprehensive database of Artificial Intelligence & Machine Learning companies.
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- Somalia
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Organization | Country | Industry | Founded | Size | Actions | |
---|---|---|---|---|---|---|
Olive LegalAI medical summaries for injury lawyers | 2024 | 1 - 5 employees | ||||
OutRival, Inc.AI Agents for Admissions Teams in Higher Education | 2018 | 6 - 10 employees | ||||
ClarionElevate patient communications with conversational AI | 2024 | 1 - 5 employees | ||||
AdenAI-native ERP for Operations Leaders | 2020 | 11 - 50 employees | ||||
HavenAI to automate property management operations | 2022 | 1 - 5 employees | ||||
RemoAI for compliance teams at banks | 2024 | 1 - 5 employees | ||||
SilimateThe co-pilot for chip designers | 2023 | 1 - 5 employees | ||||
HeliconeHelicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective.### Key Features1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs.2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications.3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards.### Built for Developers and Data ScientistsHelicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform.By combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence. | 2023 | 1 - 5 employees | ||||
GanderLLM's For Aviation, Starting with Customer Service | 2024 | 1 - 5 employees | ||||
David AIData for audio AI | 2024 | 1 - 5 employees | ||||
LatentMedical language models to automate healthcare operations | 2022 | 11 - 50 employees | ||||
testRigorExecutable specifications in English for test automation | 2015 | 11 - 50 employees | ||||
CleancardMaking cancer detection as easy as a pregnancy test | 2021 | 6 - 10 employees | ||||
Zep AIThe Memory Foundation For Your AI Stack | 2023 | 1 - 5 employees | ||||
Yoneda LabsFoundation Model for Chemical Manufacturing | 2023 | 1 - 5 employees | ||||
GreenliteAI agents for financial compliance operations | 2023 | 6 - 10 employees | ||||
AurelianAutomating non-emergency police calls | 2022 | 1 - 5 employees | ||||
TaktileEmpowers decision makers to make smarter and safer decisions at scale | 2020 | 51 - 250 employees | ||||
Material DepotSearch Engine, workflow automation for Architectural & Design industry | 2021 | 1 - 5 employees | ||||
BrainbaseAI workflow automations for enterprise | 2024 | 1 - 5 employees | ||||
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