"Multiplayer AI" — shared, governed company-wide agents across your stack.
Tool UseMemoryRAGMulti-agent
Demo · hover to playLangdock vs Numericwhich AI ops agent should you pick in 2026?
GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
Tool useMemoryRAGMulti-agent
Langdock vs Numeric — specs
| Spec | Langdock | Numeric |
|---|---|---|
| Agent Rank | 77 / 100 (A) | 68 / 100 (B) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $30 | Subscription · Free tier |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Tool use, Memory, RAG |
| Integrations | 5 apps | 3 apps |
| Verified | — | Verified |
| Released | Feb 2025 | Feb 2025 |
Agent Rank breakdown
Langdock
Agent Rank
77/ 100
- Autonomie
- 8
- Capacités
- 8
- Intégrations
- 10
- Tarification
- 7
- Maturité
- 7
- Vérifiabilité
- 6
Calculé automatiquement à partir de l'autonomie, des capacités, des intégrations, de la tarification, de la maturité et de la vérification éditoriale. Mis à jour à chaque déploiement. Comment est-ce calculé ?
Numeric
Agent Rank
68/ 100
- Autonomie
- 8
- Capacités
- 6
- Intégrations
- 2
- Tarification
- 9
- Maturité
- 6
- Vérifiabilité
- 10
Calculé automatiquement à partir de l'autonomie, des capacités, des intégrations, de la tarification, de la maturité et de la vérification éditoriale. Mis à jour à chaque déploiement. Comment est-ce calculé ?
Pros & cons
Langdock
Pour
- +GDPR-native — built EU-first with German data residency and strict compliance defaults
- +Multi-model BYO (Anthropic, OpenAI, Google) without lock-in
- +Strong agent builder + connector library — Glean-class but priced for European mid-market
Contre
- −Smaller US presence and US partner ecosystem
- −Newer than Glean — fewer published US Fortune 500 case studies
- −Per-seat pricing adds up at scale (>50 users)
Numeric
Pour
- +Close-cycle time reduction of 30–50% at deployed customers
- +Variance commentary drafting saves the controller hours per close
- +Auditable trail of every AI-generated journal entry suggestion
Contre
- −Best for teams already using NetSuite / Sage Intacct
- −Semi-auto only — humans must approve before posting
- −New product (2024 launch); customer reference list still building
Pricing
Langdock
Free
Gratuit
Individuals
- +1 workspace
- +GPT-4o + Claude
- +Limited connectors
Recommandé
Pro
$30/siège/mois
Teams
- +Multi-model BYO
- +All connectors
- +Agent builder
Enterprise
Sur mesure
Large EU orgs
- +SSO + audit
- +Custom retention
- +Dedicated EU tenant
Numeric
Growth
Sur mesure
Mid-market finance teams
- +Close automation
- +Reconciliations
- +Flux analysis
Recommandé
Enterprise
Sur mesure
Large finance orgs
- +Everything in Growth
- +Multi-entity consolidation
- +Custom workflows
- +SSO
Which one should you pick?
Langdock
Pick Langdock if its specific capabilities (Tool use, Memory) match what you need.
Try Langdock →Numeric
Pick Numeric if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Numeric →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Langdock or Numeric in 2026?+
Pick Langdock if its specific capabilities (Tool use, Memory) match what you need. Pick Numeric if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Langdock for primary work and Numeric for the workflows where its specific strengths matter.
What's the price difference between Langdock and Numeric?+
Langdock starts at Subscription · from $30; Numeric starts at Subscription · Free tier. Numeric is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Langdock or Numeric?+
Both Langdock and Numeric are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Exécution de codeTool UseMemoryRAG
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