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Eightfold vs Torqwhich AI ops agent should you pick in 2026?
AI talent intelligence — skills-based hiring, internal mobility, and workforce planning powered by deep learning.
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Eightfold vs Torq — specs
| Spec | Eightfold | Torq |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | RAG, Memory, Tool use | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | — |
| Released | Feb 2025 | Jan 2025 |
Agent Rank breakdown
Eightfold
Agent Rank
68/ 100
- 自律性
- 8
- 機能
- 6
- 連携
- 2
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Torq
Agent Rank
67/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 料金
- 4
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Eightfold
メリット
- +Skills-based matching is genuinely deeper than keyword-driven ATS search
- +Strong on internal mobility — surfacing existing employees for new roles
- +Used at Fortune 500 scale (Vodafone, Bayer, Capital One)
デメリット
- −Long deployment timeline (3–6 months typical)
- −Pricing requires multi-year commitment
- −Best for companies committed to skills-first talent strategy
Torq
メリット
- +$1.2B valuation Series D Jan 2026; Forbes "de facto leader" in agentic SOC
- +Hyperautomation roots + agent layer = best of both worlds
- +100+ security tool integrations; widest of any agentic SOC platform
デメリット
- −Enterprise focus — SMB SOCs find pricing prohibitive
- −Steeper learning curve than newer agent-native competitors
- −Best ROI requires existing SIEM/EDR/SOAR stack to orchestrate
Pricing
Eightfold
Talent Intelligence Platform
カスタム
Mid-market and enterprise
- +Skills-based matching
- +Internal mobility
- +Workforce planning
おすすめ
Enterprise
カスタム
Large enterprises
- +Custom AI models
- +Advanced analytics
- +Dedicated CS
Torq
Pro
カスタム
Mid-market SOC
- +Agentic workflows
- +100+ integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large SOC
- +Unlimited agents
- +Custom playbooks
- +Strategic CS
Sovereign
カスタム
Regulated
- +Air-gapped deployment
- +EU/US data residency
- +Dedicated engineering
Which one should you pick?
Eightfold
Pick Eightfold if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Eightfold →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Eightfold or Torq in 2026?+
Pick Eightfold if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Torq if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Eightfold for primary work and Torq for the workflows where its specific strengths matter.
What's the price difference between Eightfold and Torq?+
Eightfold starts at Subscription · Free tier; Torq starts at Subscription. Eightfold 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, Eightfold or Torq?+
Torq is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
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Linear 内蔵の AIエージェント — 課題のトリアージ、エンジニアリング仕様書の下書き、チケットを横断するクロスチームWorkflowの実行。
ツール利用RAGメモリ
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