c:node Research · Competitive comparison
c:node compared: sovereign, evidence-backed AI versus the market.
Reading time ~11 minBasis vendor docs + peer-reviewed studies, verifiedAs of October 2026
In shortThere are many good AI tools — but they solve different problems. Assistants and workspaces (Microsoft Copilot, ChatGPT Enterprise, Claude, Langdock, Lobe Chat) bring models into the company; enterprise search tools such as Glean open up internal knowledge. Data platforms like Palantir connect AI with an ontology. Model providers (OpenAI, Anthropic, Google) deliver raw language capability. c:node deliberately sits in between: the Company Brain that knows your organisation – and everything out there: your systems plus law, registers and market, in the EU cloud or on-prem, with any model and a source for every statement. No single competitor covers this combination completely — and that is exactly what the comparison below shows, fairly and with sources.
Fairness note: all statements about competitors come from their official docs/price lists or from peer-reviewed studies and are linked. Where a vendor publishes no prices, it says “on request” instead of an estimate. c:node's own advantages are argued from this market gap — they are not (yet) backed by independent third-party benchmarks.
1 The landscape: four categories.
Comparing is easier once you've sorted first. Most “AI tools” fall into one of these four groups — with very different purposes:
Assistants, workspaces & enterprise search
Bring one or more language models into the company as an assistant — with connectors, files, search and workflows.
Microsoft 365 Copilot · ChatGPT Enterprise · Claude · Langdock · Glean · Lobe Chat · Mistral Le Chat
Data & ontology platforms
Connect AI with a structured representation of the company (ontology) and its processes.
Palantir Foundry + AIP
Model providers (foundation models)
Deliver raw language capability — powerful, but without company context, source binding or governance out of the box.
OpenAI · Anthropic · Google Gemini/Vertex
Sovereign EU stacks
AI that runs entirely in the EU or on your infrastructure — data sovereignty as the core promise.
Aleph Alpha (Pharia) · Mistral · c:node
Where c:node sits: at the intersection of ontology platform and sovereign EU stack — model-agnostic, with a neuro-symbolic knowledge graph and an audit trail for every statement. Palantir has ontology + governance, but is US-based and expensive; Langdock, Le Chat and Pharia are EU-sovereign, but without a neuro-symbolic graph at the core. And because c:node connects via MCP, it can also be used inside Claude, Copilot, ChatGPT or Langdock — as an evidence layer next to the assistant your team already uses.
2 The comparison matrix.
Row by row, along the questions that really matter for mid-sized companies. ✓ available · ~ partial/limited · ✕ not the focus.
| Vendor |
EU-sovereign · on-prem |
Source per statement · audit trail |
Knowledge graph / ontology |
Model-agnostic |
Governance / EU AI Act |
Open source |
Target customers |
Price (guide) |
| c:node |
✓Cloud, on-prem, air-gapped |
✓Core: source per statement |
✓neuro-symbolic |
✓GPT/Claude/Gemini + open |
✓Audit trail per data point |
✓Open core |
Mid-sized companies, regulated orgs |
Open core €0 · cloud from €49/seat excl. VAT |
|---|
| Langdock |
✓Berlin-based vendor, EU hosting; own cloud/on-prem for large enterprise installations |
~source citations, no audit trail per statement |
✕ |
✓models from many providers, own API keys |
~ISO 27001, SOC 2 Type II |
✕ |
Enterprise / mid-market DE·EU |
from €25/seat/mo¹ · Enterprise custom |
|---|
| Microsoft 365 Copilot³ |
~Microsoft cloud with EU Data Boundary, with exceptions |
~citations for documents used |
~Microsoft Graph over M365 content, no ontology |
~selected by Microsoft, Anthropic optional |
~Enterprise Data Protection |
✕ |
Microsoft 365 customers |
per seat, Microsoft price list |
|---|
| ChatGPT Enterprise³ |
~OpenAI cloud, storage & inference in Europe available |
~source links for web search and files |
✕ |
✕OpenAI models |
~SOC 2 Type 2, no training by default |
✕ |
broad / enterprise |
on request |
|---|
| Claude (Team/Enterprise)³ |
~data stored in the US per the vendor; EU regions for the API via cloud partners |
~citations when searching connected tools |
✕ |
✕Anthropic models |
~SOC 2, ISO 27001; SSO, SCIM, audit logs |
✕ |
teams to enterprise |
per seat; Enterprise plus usage⁴ |
|---|
| Glean³ |
~Glean cloud or your own cloud (GCP, AWS) |
~citations, permission-aware |
~Enterprise Graph over internal knowledge |
✓models from several providers |
~SOC 2 Type II, ISO 27001, ISO 42001 |
✕ |
Enterprise |
on request |
|---|
| Lobe Chat |
~self-host → wherever you want |
✕ |
✕ |
✓Multi-provider |
✕no enterprise governance |
✓MIT |
Developers, self-hosters |
free (OSS) |
|---|
| Palantir Foundry + AIP |
~US corporation; deployable, but not EU-sovereign |
✓Ontology lineage, auditing |
✓Foundry ontology |
✓ |
✓Access, encryption, audit |
✕ |
Large corporations, government |
on request, high-priced² |
|---|
| Aleph Alpha (Pharia) |
✓DE, on-prem, air-gapped, weights |
~ |
✕LLM stack, no graph at the core |
~own models |
✓ |
~weights available |
Gov, regulated DE |
on request |
|---|
| Mistral Le Chat Enterprise |
✓EU residency, private cloud/on-prem |
~Audit logs |
✕ |
~own models |
✓Audit logs, SAML SSO |
~open models |
Enterprise EU |
on request |
|---|
¹ Langdock Business, as of October 2026, excl. VAT. langdock.com/pricing. ² Palantir publishes no list prices. ³ Based on official vendor docs, as of October 2026 (sources 8 and 11–16); individual plans differ and features may change. ⁴ Claude Enterprise: per seat plus usage at API rates, according to claude.com/pricing.
3 The competitors, fairly assessed.
Langdock
Mature AI platform from Berlin: chat, agents and workflows with models from many providers, also with your own API keys. EU hosting on Microsoft Azure, ISO 27001 and SOC 2 Type II; Langdock offers its own-cloud and on-prem options for large enterprise installations.59 External MCP servers can be connected in agents and chat.10 What's missing is a knowledge graph at the core and a source per statement — Langdock is excellent model access, not a neuro-symbolic grounding layer.
+ EU hosting & certified+ model variety– no knowledge graph / audit per statement
See the comparison: c:node or Langdock? →Microsoft 365 Copilot
The assistant for everyday Microsoft 365 work: writing, summarising and searching in Word, Outlook and Teams. It runs in the Microsoft cloud with the EU Data Boundary — which, according to Microsoft, does not apply to web search, and Anthropic models in Copilot are excluded from it.814 Copilot Studio can connect MCP servers as tools.14 Law, registers and checking every statement against its source are not the focus.
+ deep in Microsoft 365+ MCP via Copilot Studio– EU Data Boundary with exceptions
See the comparison: c:node or Microsoft Copilot? →ChatGPT Enterprise
Versatile general-purpose assistant for writing, ideas, code and research. For Enterprise, OpenAI offers data storage and inference in Europe, SOC 2 Type 2 and no training on business data by default; admins can enable MCP apps.15 The models come from OpenAI, and sources are provided as links for web search and files — matching every statement against law and registers is not the core.
+ strong raw capability+ EU data residency available– OpenAI models only
See the comparison: c:node or ChatGPT Enterprise? →Claude (Anthropic)
Strong AI assistant for teams: connectors to e.g. Microsoft 365, Google Drive and Slack, enterprise search with citations, and on the Enterprise plan SSO, SCIM, audit logs and custom retention controls.11 Custom connectors can be added via remote MCP — that is how c:node comes straight into Claude.13 According to Anthropic, data is stored in the US; EU regions are available for the API via cloud partners such as AWS and Google Cloud.12 The models come exclusively from Anthropic.
+ strong models & connectors+ MCP connectors– data stored in the US
See the comparison: c:node or Claude? →Glean
Mature enterprise search with an assistant: well over 100 connectors, indexed with exact permissions, an Enterprise Graph of people, content and relationships, and models from several providers. Glean runs in the Glean cloud or as a managed instance in your own cloud (GCP, AWS).16 The focus is internal knowledge — law, registers and market are not part of it.
+ very many connectors+ permission-aware– focus on internal knowledge
See the comparison: c:node or Glean? →Lobe Chat
A popular open-source chat front end (MIT): self-hosted via Docker in minutes, many providers, a large community. Ideal for developers and experiments. For regulated companies, the enterprise layer is missing: no audit trail, no knowledge graph, no governance suite. It's a UI, not a platform.
+ free & simple+ full data control– no enterprise governance
Palantir Foundry + AIP
The closest conceptual relative: AIP puts LLMs on top of the Foundry ontology and provides governance, access controls and auditing — we share the idea of “AI on structured company knowledge”. The differences: Palantir is a US corporation (data sovereignty), geared towards large corporations/government and high-priced in sales. c:node brings the same basic idea in an EU-sovereign, neuro-symbolic form that fits mid-sized companies.
+ ontology + governance– US-based, high-priced– enterprise/gov focus
Aleph Alpha (Pharia) & Mistral Le Chat
The strongest EU sovereignty arguments: Aleph Alpha offers true on-premises including weights and air-gapped operation; Mistral Le Chat Enterprise offers EU residency, private cloud, audit logs and SSO. Both prove that EU sovereignty alone is no longer a unique selling point. c:node's difference lies in the neuro-symbolic graph + source per statement — not just “where”, but “how traceable”.
+ true EU sovereignty– no neuro-symbolic graph at the core
4 Why this matters scientifically.
The comparison isn't about taste, but about a measurable problem — and its solution:
3–13 %
of the citation links that commercial LLMs & “deep research” agents output are
completely made up (never existed); 5–18 % lead nowhere.
1+80 %
higher answer correctness when a
knowledge graph grounds the facts — shown for smaller models on question-answering tasks.
2Multi-hop
a knowledge graph combines several facts into one answer —
reasoning that plain text search (RAG) structurally cannot deliver.
3
Classic RAG (fetching answers from documents) also lowers hallucinations significantly, but does not eliminate them — in specialist tools up to a third of statements remain unevidenced.4 That's why “model + document search” isn't enough for regulated decisions. You need a layer that binds every statement to a source and makes it auditable — the EU AI Act requires exactly this traceability (Art. 12/13). That's the design principle of c:node.
5 Where c:node leads.
1Source per statement
Not just footnotes at the end — every data point carries its origin and an audit trail – built for the logging obligations of the EU AI Act.
2Neuro-symbolic knowledge graph
c:node grounds answers in facts + rules — the evidenced method against hallucination that pure chat tools don't have.
3EU-sovereign without compromise
Cloud, on-prem or air-gapped — without the data sovereignty gaps of the US hyperscaler assistants.
4Model-agnostic
GPT, Claude, Gemini or open models — interchangeable without changing the traceable logic.
5Open core, fit for mid-sized companies
Palantir's ontology idea — but you can start open source and without a corporate price tag.
6 Honestly: where c:node doesn't lead (yet).
Certification maturity.Established EU vendors such as Langdock and Mistral already hold ISO 27001 and SOC 2 Type II. c:node is building these credentials in parallel — as a young platform, they aren't at the same level yet.
Data integration depth & references.Palantir's decades of experience integrating huge, heterogeneous data landscapes and its reference customers are a real lead that a newcomer won't close overnight.
Raw model capability & reach.In pure language performance and go-to-market, the foundation model providers and a mature player like Langdock lead. c:node's value lies in the grounding & governance layer on top — not in being the biggest model.
Sources
- Hallucinated citations in LLMs & deep research agents: 3–13 % of citation URLs made up, 5–18 % not resolvable (DRBench 53,090 URLs, ExpertQA 168,021 URLs); post-hoc checking reduces dead links to below 1 %. arXiv:2604.03173. arxiv.org…
- “Can Knowledge Graphs Reduce Hallucinations in LLMs?” — knowledge graph grounding increases answer correctness by more than 80 % (relative, smaller models, KGQA). NAACL Findings 2024, arXiv:2311.07914. arxiv.org…
- Survey of Graph Retrieval-Augmented Generation (GraphRAG): structure-aware multi-hop reasoning over knowledge graphs. arXiv:2501.13958. arxiv.org…
- Enterprise RAG evaluation: need for grounding/verification; RAG reduces hallucination but does not eliminate it. arXiv:2602.20379. arxiv.org…
- Langdock — official pricing (Business from €25 per user and month, as of October 2026). langdock.com/pricing
- Lobe Chat — open-source repo (MIT, self-hosting, multi-provider). github.com/lobehub/lobe-chat
- Palantir AIP — official docs (ontology, model agnosticism, governance/auditing). palantir.com…
- Microsoft 365 Copilot — Enterprise Data Protection: EU Data Boundary does not apply to web search, Anthropic models excluded. learn.microsoft.com…
- Langdock — security & deployment (EU hosting on Azure, ISO 27001, SOC 2 Type II, single-tenant/own cloud/on-prem for enterprise). langdock.com/security
- Langdock — MCP integration (external MCP servers in agents and chat). docs.langdock.com…
- Claude — Team & Enterprise plans (connectors, enterprise search, SSO, SCIM, audit logs, retention, SOC 2/ISO 27001). claude.com/pricing · claude.com/pricing/enterprise
- Claude — server locations and data residency (storage in the US; EU regions for the API via cloud partners). privacy.claude.com… · platform.claude.com…
- Claude — custom connectors via remote MCP (Team/Enterprise). support.claude.com…
- Microsoft — MCP servers in Copilot Studio; Anthropic models outside the EU Data Boundary. learn.microsoft.com… · learn.microsoft.com…
- OpenAI — ChatGPT Enterprise: data residency in Europe, enterprise privacy (no training by default, SOC 2), MCP apps. help.openai.com… · openai.com/enterprise-privacy · help.openai.com…
- Glean — connectors, deployment models, models, security. glean.com/connectors · docs.glean.com… · docs.glean.com… · glean.com/security
Vendor information as of October 2026 and subject to change (Langdock prices excl. VAT). There are no independent third-party benchmarks for c:node — the advantages mentioned are argued from the market gap, not measured externally. Models/vendors named are examples and trademarks of their respective owners; c:node is model-agnostic.
