We do this by generating industry adapted small language models and synthetic data sets to allow you to create, measure and optimise real user connection in the AI era, faster.
Problem
LLMs thrive only when powered with clean, curated data.
80% of companies' data exists in difficult-to-use formats (like text, audio, and documents).
Most of this data is hard to find, hard to clean, and even harder to work with.
Misinterpreting user context and intent leads LLMs to wrong answers.
Companies are providing LLMs sets of pre-defined prompts as instructions. These instructions often cover only a subset of real-life cases and also provide generalized answers to all customers.
Measuring AI product performances and user engagement is hard.
Existing solutions do not provide actionable insights on how AI Products perform and how to identify the issues your users face. Understanding user engagement is key to enhancing retention and boosting revenue.
Solution
Features
Features
Create, measure and optimize your AI product with confidence
Onboarding: Connect your data sources
Claro ingests data from any source. Define your industry, use case and provide taxonomy or let us take care of that
Personalized model generation
We automatically generate synthetic data sets and start to train adapted and fine tuned small language model for your use case
Kickstart your AI project
Gain insights via our analytics dashboard, receive real time predictions via our API or download the model for on-premise use
Feedback Loop
Utilize our Feedback Loop feature to enhance the accuracy of predictions through direct feedback, ensuring continuous improvement in AI model performance
Welcome to Claro
First, let’s connect with your favorite source.
How do you want to send data to Claro?
Import data from Big Query
Connect to Intercom
Connect to Zendesk
Connect data from other tools
Send data with Claro SDK or API
Use our developer SDK or API to ingest data to Claro
Your use case
Edtech AI Copilot - User intent prediction API
Edit
Delete
User intent
Topics
Sentiment
Hi Gilad, Welcome Back 👋
Sentiment went down
Causes for frustration
3 new topics
Users
+10.4%
108k
Costs
+89.4%
$43.7k
+9.4%
21k
Conversations
(+43%) than last week
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Conversation volume
GPT 3
GPT 4
Jan
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Interactions
All
8490
Checked
7497
Unchecked
143
Archived
10
Untagged
7
Message
Status
Nov 6, 2024 / 10:42 AM
Integration
Data sync
Data security
ID 9
Our team loves Moss! Just wanted to share some positive feedback.
Checked
Message
Status
Nov 4, 2024 / 5:27 PM
User interface
Intercom
ID 19
I have some feedback on the user interface. Where can I send this?
Checked
Use cases
Data Structuring - Get Company data RAG-ready
80% of companies' data exists in difficult-to-use formats. Extracting and transforming complex data to be able to be used in vector databases and LLM framework is a must for companies that want to build AI Products.
Personalise LLM - Real-Time Intent Understanding
Understand user intent and emotion, segment users, and more, allowing you to route prompts based on context and intentions without adding latency to user experience.
Personalise LLM - Real-Time Memory
Automatically populate prompts with relevant facts and summaries from past conversations, no matter how distant. Imagine an AI chatbot that remembers all conversations with you.
Security
Claro is built from the ground up by an experienced team with security, privacy and compliance prioritized from day one.
We don’t train on customer data
We prioritize security by never training our AI models on customer data. Instead, we use synthetic data to ensure data privacy while delivering high-quality AI solutions.
Personal Information Protection
No personal information stored with granular PII controls. All personal identifiable information is wiped immediately.
SOC2 compliance
We are actively working towards achieving SOC2 compliance to ensure that our systems and processes are secure and reliable
Pending