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Kairntech

LLM Agents & RAG · Natural Language Processing · Document AIGrenoble, FranceFounded 2018

Kairntech is an enterprise-grade, sovereign, no-code AI platform that lets teams build, deploy and scale secure generative AI assistants and RAG workflows using internal documents.

4.7
Average rating
11
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
LLM Agents & RAG
Team size
1-10 employees
Typical budget
$50K - $150K
Primary industry
Media, Entertainment, Gaming & Sports
Provider overview

A clear view of what Kairntech does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
LLM Agents & RAG provider for Media, Entertainment, Gaming & Sports

Kairntech is an enterprise-grade, sovereign, no-code AI platform that lets teams build, deploy and scale secure generative AI assistants and RAG workflows using internal documents. RankGlobal maps its primary capability to Agentic Workflow Development within LLM Agents & RAG, with supporting relevance to Knowledge Graphs, Large Language Models. Its strongest supplied industry signals align with Publishing & Digital Content, EdTech & Digital Learning, FinTech Platforms.

See how this profile was mapped →
Primary AI category
LLM Agents & RAG
Strongest industry signal
Media, Entertainment, Gaming & Sports
Engagement profile·$50K - $150K·1-10 employees·Service
Mapped capabilities · 3 categories
Technology

Platforms, methods and technical signals

LLMRAGNatural Language Processing

Tools and platforms named in Kairntech's supplied company profile.

Expertise

Named expertise on file

  • Document Q&A

    Utilizing a hybrid approach that combines LLMs with symbolic AI to deliver accurate, trustworthy answers from enterprise knowledge bases.

    Question AnsweringHybrid AIRAG
  • Agentic RAG Chatbots

    Building autonomous language assistants that navigate complex document sets to provide specific business insights and summaries.

    Agentic AIRAGChatbots
  • Knowledge Extraction

    Transforming unstructured text into structured "Knowledge Graphs" to help AI understand complex semantic relationships.

    Knowledge GraphsInformation ExtractionSemantic Web
  • Text Annotation Tool

    Providing advanced tools for data labeling, bias detection, and continuous data maintenance for AI model training.

    Data LabelingBias MitigationModel Training
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of Kairntech, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
LLM Agents & RAG
Compared with
933 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
60th percentile of 933 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

LLM Agents & RAG among 933 published providers

Average rating4.73 · median 4.83
Mapped reviews11 · median 10
Profile completeness100% · median 100%
Taxonomy breadth26 · median 21
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
LLM Agents & RAG100%
Natural Language Processing96%
Document AI60%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
5 industries on the map
5
Education & Research44%
Media, Entertainment, Gaming & Sports22%
Financial Services & Insurance11%
Manufacturing & Industrial11%
Personal, Household & Community Services11%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct38% · 10
Supported31% · 8
Related8% · 2
Adjacent23% · 6

Imported mapping grades across 26 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

Kairntech presents as a strong evidence profile for LLM Agents & RAG. It ranks in the 60th percentile of 933 published providers in LLM Agents & RAG, and 11 reviews back the commercial profile.

Current positioning: P60 evidence quality · P80 industry breadth
Strongest signals
Evidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.
Best user fit
Media, Entertainment, Gaming & Sports buyers evaluating LLM Agents & RAG at a $50K - $150K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
11
Reviews
4.7
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

9 mapped subindustries
Client feedback

What clients say.

Reviews and ratings published for this provider.

Previously, it took four clicks to open a simple PDF. With Kairntech, those same four clicks now allow us to query a complete eCTD pharmaceutical dossier. This is a shift from browsing single documents to immediately obtaining reliable, data-driven answers from thousands of complex files—saving significant time on critical tasks during the final stages of the drug approval process.

Dr. Michael Schorpp, Head of Knowledge Management and AI
5
Strengthening Technical Success via Personal AI Partnerships

Communication is very personal. They act more like partners than vendors.

Project Mgr
5
Optimizing Industrial Data via Specialized AI Annotation Platforms

The 'Sherpa' platform is excellent for annotating niche industrial datasets.

Data Lead
5
Saving Months of Effort via AI-Driven Medical Entity Extraction

Automated entity extraction from medical journals saved us months of manual work.

Pharma Researcher
5
Empowering Non-Technical Experts via Intuitive AI Training UIs

Very clean UI for subject matter experts. They don't need to be coders to train it.

IT Manager
5
Achieving Global Precision via AI for Low-Resource Languages

Great for 'Low-Resource' languages where Google/AWS often fail. Very precise.

Innovation Mgr
5
Ensuring High Performance via Straightforward AI Python APIs

Integration via Python API is straightforward. Solid performance on unstructured text.

Data Engineer
4
Accelerating Legal Review via 90% Accurate AI Summarization

Summarization of long legal docs is 90% accurate. Needs a final check but saves time.

Legal Analyst
5
Ensuring Cost Transparency via Document-Based AI Pricing

Transparent pricing model. We know exactly what we're paying for per document.

Finance Mgr

10 mapped reviews · 11 published quotes

Showing 9 of 11, ranked by display order then recency.

Rating distribution
5
9
4
1
3
0
2
0
1
0

Ratings aggregate 11 reviews at the average shown above.

Transparent profile intelligence

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.

RankGlobal trust center →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for Kairntech, and the three things worth confirming directly once you're in touch.

Primary category
LLM Agents & RAG
Primary industry
Media, Entertainment, Gaming & Sports
Typical budget
$50K - $150K
Team size
1-10 employees
  1. 1
    Name the use case

    Say which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $50K - $150K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Media, Entertainment, Gaming & Sports — the strongest industry signal on this profile.

Enquire about Kairntech

Three fields. Anything longer belongs on the full contact page, linked below.