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deepset

LLM Agents & RAG · Document AI · Natural Language ProcessingBerlin, GermanyFounded 2018

deepset delivers the Haystack open-source framework and enterprise platform for building custom AI solutions including RAG, AI agents, enterprise search and intelligent document processing.

4.8
Average rating
14
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
LLM Agents & RAG
Team size
50-100 employees
Typical budget
$100K+
Primary industry
Aerospace, Defense & Space
Provider overview

A clear view of what deepset does best.

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

Company profile
LLM Agents & RAG provider for Aerospace, Defense & Space

deepset delivers the Haystack open-source framework and enterprise platform for building custom AI solutions including RAG, AI agents, enterprise search and intelligent document processing. RankGlobal maps its primary capability to AI Agents within LLM Agents & RAG, with supporting relevance to Agentic Workflow Development, Enterprise Knowledge Assistants. Its strongest supplied industry signals align with Aerospace Engineering & Systems, FinTech Platforms, HealthTech Platforms.

See how this profile was mapped →
Primary AI category
LLM Agents & RAG
Strongest industry signal
Aerospace, Defense & Space
Engagement profile·$100K+·50-100 employees·Service
Mapped capabilities · 3 categories
Technology

Platforms, methods and technical signals

HaystackRAGLLMsSemantic Search

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

Expertise

Named expertise on file

  • Custom AI Agents

    Building sophisticated "Generative AI" agents that can query enterprise data and perform tasks autonomously.

    GenAIAgentic AIHaystack
  • Enterprise Search

    Implementing high-performance semantic search that allows employees to find answers in internal documents instantly.

    Semantic SearchNLPKnowledge Discovery
  • Intelligent Document Processing

    Utilizing advanced NLP to extract and summarize insights from massive document collections.

    IDPText SummarizationInformation Retrieval
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of deepset, 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 rating4.84 · median 4.83
Mapped reviews14 · median 10
Profile completeness100% · median 100%
Taxonomy breadth20 · median 21
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
LLM Agents & RAG100%
Document AI96%
Natural Language Processing96%

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

Mapped industries
4 industries on the map
4
Aerospace, Defense & Space25%
Financial Services & Insurance25%
Healthcare & Life Sciences25%
Legal, Risk & Compliance25%

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

Evidence mix
Mapping grades
Direct65% · 13
Supported30% · 6
Related5% · 1

Imported mapping grades across 20 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

deepset 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 14 reviews back the commercial profile.

Current positioning: P60 evidence quality · P47 industry breadth
Strongest signals
Evidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.
Best user fit
Aerospace, Defense & Space buyers evaluating LLM Agents & RAG at a $100K+ engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
14
Reviews
4.8
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Capabilities

Evidence-led AI expertise.

Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).

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.

4 mapped subindustries
Client feedback

What clients say.

Reviews and ratings published for this provider.

After a couple of years spent in the doldrums of reduced spend on market insights, we felt that we needed a strong new product launch to serve as a lightning rod for our market and customers.

Dan Coates, President

We knew that we'd picked the right partner within a couple of weeks when, after simply loading a subset of our corpus into deepset, we were getting pretty good answers to questions. Over the next 2 months, we worked closely with the deepset team to make the answers even better.

Xavier Vivar, Chief Product Officer

Most of our foundational understanding of AI and RAG came as a result of our interactions with the deepset team after our project kickoff meeting. By the launch of our chat interface product, we became fluent in the space. Now, we've able to continue to upskill and quickly bring to market new approaches with AI agents.

Xavier Vivar, Chief Product Officer

Customer expectations keep rising, and we need to keep pace. With deepset, we can prototype and ship new AI capabilities in weeks, not quarters. We started with RAG and Text2SQL, now run agents in production, and are ready to support whatever use cases come next.

Dan Coates, President
5
Scaling RAG Operations via Industry-Standard AI Haystack

Haystack is the gold standard for RAG. deepset Cloud makes scaling it trivial.

Lead AI Eng
5
Ensuring LLM Versatility via Code-Agnostic AI Integration

The ability to switch between LLMs (OpenAI to Cohere) without rewriting code is vital.

CTO, Fintech
5
Mastering Enterprise Search via High-Scale AI PDF Analysis

Enterprise search that actually finds the right answer in 50k PDFs. Unbeatable.

Data Scientist
5
Optimizing AI Embeddings via Highly Technical Support Teams

Support is highly technical. They helped us optimize our embedding strategy in days.

Product Mgr
5
Securing Data Integrity via Hybrid-Cloud AI Deployments

The hybrid-cloud deployment ensures our sensitive data never leaves our VPC.

Compliance Off

10 mapped reviews · 14 published quotes

Showing 9 of 14, ranked by display order then recency.

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

Ratings aggregate 14 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 deepset, and the three things worth confirming directly once you're in touch.

Primary category
LLM Agents & RAG
Primary industry
Aerospace, Defense & Space
Typical budget
$100K+
Team size
50-100 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 $100K+ 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 Aerospace, Defense & Space — the strongest industry signal on this profile.

Enquire about deepset

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