Use Anthropic. We do.
Claude Opus 4.6 is the best foundation model on the planet, and GEIST routes our reasoning workloads through it. Cowork is great for individual productivity. Claude Code is what we use to build GEIST. Managed Agents is a great runtime. The question isn't Anthropic vs GEIST. It's whether you want to spend 12–18 months assembling a multi-user clinical performance management system out of API calls — or deploy in 12 weeks on top of pre-built vertical playbooks.
90.2% BigLaw Bench, 1M-token context. Best-in-class for complex analysis, drafting, and synthesis. We route reasoning workloads here.
11 open-source plugins (legal, finance, sales, support…). For one knowledge worker on Slack, Drive, and Box, install and go.
The best AI coding assistant ever shipped. We use it internally to build GEIST. Makes one developer 3–5× more productive.
A great runtime for one developer building one application — sessions, environments, server-side memory. You add the multitenancy, integrations, and governance on top.
A creative canvas for prototypes, decks, and marketing assets, exporting to Canva/PDF/PPTX/HTML. Different problem space from GEIST visual generation — Design is from-scratch creative; GEIST visuals are generated inside workflows with tenant context (org hierarchy, process catalog, scoped knowledge).
Anthropic's products are built around a session: one user, one conversation, one task. The instant a whole team needs to share state, sync to a system of record, enforce compliance, or run something while nobody's watching — you're building an application. That's where GEIST lives.
| Capability | Anthropic (Claude, Cowork, Code, or Managed Agents) | GEIST |
|---|---|---|
| Multi-user application with shared dashboards | Single-user chat or session per user | Role-based access for whole organisations with shared dashboards |
| Persistent domain database | Each session starts fresh; no organization-wide state | Purpose-built schemas per vertical (TalentGEIST, DermGEIST, PayGEIST) |
| Domain-aware system integrations | Cloud connectors (Slack, Drive, Box) — generic | 24 production integrations: PeopleXD, Epic FHIR, HealthStream, Workday, Salesforce, M365, Slack, SharePoint… |
| Multitenant scope enforcement | Per-API-key isolation only — your boundary lives in your code | Platform → Vertical → Instance → Tenant → User scope hierarchy with row-level security |
| Per-tenant cost tracking and one invoice | Aggregate API spend per key; you build the metering | Per-user, per-tenant, per-app metering — single transparent invoice across providers |
| Vertical playbook context | Agent definitions are flat — you assemble system prompts and tools | 6 platform playbooks pre-loaded; AI Operating Model workstreams with assessments, ROI models, process maps, and scoped KBs seeded at install |
| Background processing & scheduled jobs | Runs only when invoked | GEIST workers for embeddings, syncs, anomaly detection, scheduled review cycles |
| Compliance posture (HIPAA, GDPR, audit) | Per-account compliance only — Healthcare add-on for clinical research | Reversible PII tokenization, GDPR cascade, append-only audit, Vertex BAA for HIPAA verticals |
| Customer-controlled deployment | Anthropic infrastructure | Customer Azure tenant, Hetzner, on-premise, or air-gapped |
Verified in the GEIST codebase and competitive analysis, March 2026.
AgentGEIST ships the AI Operating Model layer across 7 domains — strategy, use case discovery, governance, people & culture, engineering, data, and compliance — with pre-loaded assessments, ROI models, process maps, and scoped KBs in each.
13,720
ROI opportunities
8 industries × APQC × AI techniques
2,017
APQC processes
L2–L5 cross-industry taxonomy
4,769
BOD benchmarks
definitions + KPI measures
7
Operating-model domains
strategy, governance, people, engineering, data, compliance, use cases
Live voice agent
Gemini 3.1 Flash Live with sub-100ms latency. Three conversation modes (interview, assessment, free conversation). Full transcript persistence and function-calling into the assessment + KB layer.
Reports, slides, diagrams
Visual reports, presentation decks, architecture diagrams, data-flow diagrams, swimlane process diagrams, assessment exports, and executive summaries — generated on demand from voice or chat. Every visual is grounded in your tenant's private knowledge — APQC process catalog, BOD benchmarks, organisational hierarchy, and 5-level scoped RAG — not a separate creative canvas.
7 functional areas
Strategy · Use Cases (Discover, Portfolio, Process Forensics) · AI Organisation · People & Culture (Capability Assessment, Resource Plan, Training, Change Mgmt) · Governance (Risk, Policies) · Engineering (Architecture, Partners) · Data (Connectors, Readiness, Quality, Workspace).
Assessment depth
Our AI Maturity assessment (Gartner-derived) ships with 7 pillars and 81 tier-3 capability nodes. The AI Strategy assessment ships with 3 phases × 21 items. Both pre-loaded at install.
Every figure verified against shipped GEIST seed data — March 2026.
The right comparison isn't Anthropic price vs GEIST price. It's the cost of building an application your organization can actually deploy.
Cowork + custom plugins
~$510K Year 1
50 Max-tier seats, ~$50–100K plugin development, 2 FTE workflow engineers, ongoing maintenance.
AI-assisted individual tasks. No structured application, no compliance reporting, no integrations.
Claude Code + Managed Agents custom build
~$1.2M Year 1
4 senior engineers × 12–18 months to build a multi-user application with database, sync layer, audit trail, multitenancy, and compliance.
Custom application that you own and must maintain forever.
GEIST
Weeks to deploy
Pre-built playbooks, 24 integrations, multitenancy and compliance baked in. Transparent per-tenant AI billing — one invoice across providers.
Production vertical application running on top of Anthropic.
Year 1 totals; figures are estimates from internal cost analysis, not commitments.
GEIST's multi-provider AI gateway routes between Anthropic, Google Vertex, Azure OpenAI, Gemini, and local models. You can pin Opus 4.6 for legal reasoning on tenant A, Vertex Gemini for HIPAA workloads on the dermatology instance, and Haiku 4.5 for cost-sensitive bulk classification — all in the same deployment, all metered per tenant.
We handle the provider relationships and pass through inference costs with full visibility — every prompt, every response, every dollar attributed to the tenant that incurred it. No surprise overage bills, no juggling separate Anthropic and Azure invoices.
Multi-provider routing — production today
Anthropic
Opus 4.6, Sonnet 4.6, Haiku 4.5 (chat completions)
Google Vertex AI
Gemini 2.5/3 with HIPAA BAA
Google Gemini API
Paid tier for production inference
Azure OpenAI
GPT-5 series via Foundry catalog
Local models
Air-gapped + privacy-first deployments
Routing features
Profile-based + fallback chains + eval-driven swaps
Verified in the GEIST AI gateway, March 2026.
Production today
Alpha
Dermatology · Surgical AI
DermGEIST surgical decision support: wound assessment, ranked closure recommendations, voice-first OR workflow, and HIPAA-compliant image analysis via Vertex AI BAA.
30-minute architecture review. We map a vertical workflow from your business onto a GEIST playbook running on Claude or your model of choice — with transparent per-tenant billing across providers.