Isahit
Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, comm，Isahit is a platform dedicated to human-driven LLM fine-tuning, RA...
Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, comm，Isahit is a platform dedicated to human-driven LLM fine-tuning, RA...
Mindber Score™
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Mindber Score™
Score pending - additional data required
Starting price
Free
Best for
Model training and deployment
Free trial
✓ Free tier
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Mindber finds Isahit to be one of the more unusual entries in the AI tooling landscape, because it isn't really a software product in the conventional sense.
- What is Isahit?
- Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, comm，Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, committed to providing high-quality, unbiased AI agents. As a B-Corp certified enterprise, Isahit realizes a sustainable business model by managing staff participation in AI and data projects Use CasesLeveraging Isahit's human-driven services, the company successfully optimized its AI model, improving performance and accuracy.Isahit's data processing services help enterprises avoid data bias and ensure the fairness of AI agents.Through Isahit's RAG optimization services, the company achieved efficient operation and precise responses from its AI agents.FeaturesProvide human-driven LLM fine-tuning services to ensure the quality and accuracy of AI agents.Optimize RAG models to improve the performance and efficiency of AI agents.Process high-quality data to reduce data bias and ensure the fairness of AI agents.Correct AI bias through human supervision to ensure the fairness and accuracy of AI agents.Avoid long-term problems by preventing data bias early through quality control.Effectively scale AI projects through the 'humans via API' platform to improve scalability.Locate and customize AI responses to ensure compliance with local cultures.Create meaningful job opportunities in developing countries to bridge the digital divide.How to UseVisit Isahit's website at https://www.isahit.com/zh/.Describe your project requirements and request the required staff.Start using Isahit's human resources for data annotation and processing.Understand Isahit's sustainable business model and how to enhance the quality of AI agents through human-driven services.Participate in Isahit's social impact projects to provide job opportunities in developing countries.
- Who is it for?
- AI/ML teams who need human-in-the-loop fine-tuning and bias correction; better than fully automated labeling tools for tasks requiring cultural nuance and fairness oversight
- Pricing
- free
Product information
What this product does
Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, comm，Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, committed to providing high-quality, unbiased AI agents. As a B-Corp certified enterprise, Isahit realizes a sustainable business model by managing staff participation in AI and data projects Use CasesLeveraging Isahit's human-driven services, the company successfully optimized its AI model, improving performance and accuracy.Isahit's data processing services help enterprises avoid data bias and ensure the fairness of AI agents.Through Isahit's RAG optimization services, the company achieved efficient operation and precise responses from its AI agents.FeaturesProvide human-driven LLM fine-tuning services to ensure the quality and accuracy of AI agents.Optimize RAG models to improve the performance and efficiency of AI agents.Process high-quality data to reduce data bias and ensure the fairness of AI agents.Correct AI bias through human supervision to ensure the fairness and accuracy of AI agents.Avoid long-term problems by preventing data bias early through quality control.Effectively scale AI projects through the 'humans via API' platform to improve scalability.Locate and customize AI responses to ensure compliance with local cultures.Create meaningful job opportunities in developing countries to bridge the digital divide.How to UseVisit Isahit's website at https://www.isahit.com/zh/.Describe your project requirements and request the required staff.Start using Isahit's human resources for data annotation and processing.Understand Isahit's sustainable business model and how to enhance the quality of AI agents through human-driven services.Participate in Isahit's social impact projects to provide job opportunities in developing countries.
Sourced from isahit.com
Works With
Platforms
- Web
Problem Solved
What problem does Isahit solve?
It's for data science teams and operational teams at companies building or running AI systems. They need large volumes of accurately labeled data — images, video, text, audio — and human evaluation for LLM fine-tuning, RLHF, and AI Act compliance, but doing this in-house is slow and expensive. Isahit provides an on-demand, trained workforce and a labeling tool to handle annotation, quality control, and validation. For example, an autonomous vehicle team can send driving footage to Isahit and get back frame-by-frame object annotations without hiring a labeling team.
Company & Maker
Who built Isahit?
- Company
- Isahit (isahit.com)
- Product
- Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, comm，Isahit is a platform dedicated to human-driven LLM fine-tuning, RAG optimization, and high-quality data processing, committed to providing high-quality, unbiased AI agents. As a B-Corp certified enterprise, Isahit realizes a sustainable business model by managing staff participation in AI and data projects Use CasesLeveraging Isahit's human-driven services, the company successfully optimized its AI model, improving performance and accuracy.Isahit's data processing services help enterprises avoid data bias and ensure the fairness of AI agents.Through Isahit's RAG optimization services, the company achieved efficient operation and precise responses from its AI agents.FeaturesProvide human-driven LLM fine-tuning services to ensure the quality and accuracy of AI agents.Optimize RAG models to improve the performance and efficiency of AI agents.Process high-quality data to reduce data bias and ensure the fairness of AI agents.Correct AI bias through human supervision to ensure the fairness and accuracy of AI agents.Avoid long-term problems by preventing data bias early through quality control.Effectively scale AI projects through the 'humans via API' platform to improve scalability.Locate and customize AI responses to ensure compliance with local cultures.Create meaningful job opportunities in developing countries to bridge the digital divide.How to UseVisit Isahit's website at https://www.isahit.com/zh/.Describe your project requirements and request the required staff.Start using Isahit's human resources for data annotation and processing.Understand Isahit's sustainable business model and how to enhance the quality of AI agents through human-driven services.Participate in Isahit's social impact projects to provide job opportunities in developing countries.
- HQ
- Paris
- Founded
- 2015
- Team size
- 11-50
- Live since
- Jun 2015
- Founders
- Isabelle Mashola - CEO
- Philippe Coup-Jambet - COO
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
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Isahit is a human-in-the-loop data services platform that provides LLM fine-tuning, RAG optimization, and data annotation through a 'humans via API' model. It is used by AI teams that need human supervision for bias correction, quality control, and localization of AI outputs.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Leveraging Isahit's human-driven services, the company successfully optimized its AI model, improving performance and accuracy
- Isahit's data processing services help enterprises avoid data bias and ensure the fairness of AI agents
- Through Isahit's RAG optimization services, the company achieved efficient operation and precise responses from its AI agents
- Fine-tunes LLM outputs through human review to reduce bias and improve accuracy for customer-facing AI agents
- Optimizes RAG pipelines by having human annotators validate and correct retrieved context for precision
- Generates localized AI responses by routing outputs through human reviewers with cultural context
Pricing reality
Vendor stated
No public pricing page; custom quotes based on project scope and volume
Actual cost
Likely per-task or per-hour human labor rates plus platform fees, but no public rate card exists
Hidden costs
3 hidden cost warnings — unlock to view
Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
Free
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What pricing pages often hide
True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
Score locked
HOW THIS TOOL SCORES
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Innovation Index™
Is it new, different, and easy to understand?
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
7.3K
Avg visit duration
00:00:43
Pages per visit
2.24
Bounce rate
35.27%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
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