Agentic Index
AskEarth vs PangeAI (2026)
The only two geospatial agents in the index, both at 4 of 14 and both early. askEarth is a geospatial answer engine turning satellite and Earth observation data into natural language and map based insights, working with proprietary or third party models.
PangeAI's agent Geoffrey answers physical world questions by autonomously selecting and fusing satellite, terrain and vector datasets to deliver analysis and simulations for insurance, energy, real estate, mining and natural capital, without a geographic information systems team. Same premise, and PangeAI names the industries and the dataset fusion while askEarth emphasizes model flexibility.
Choose AskEarth if
- Model flexibility matters: you want to bring your own rather than accept the vendor's.
- Map based output alongside natural language is how your team consumes analysis.
- Enterprise geospatial intelligence is your existing practice and you are adding an interface.
Choose PangeAI if
- Fusing satellite, terrain and vector data automatically is the capability you lack.
- Insurance, energy, real estate, mining or natural capital is your named industry.
- Having no geographic information systems team at all is precisely your constraint.
| At a glance | AskEarth | PangeAI |
|---|---|---|
| Category | Data analyst agent | Data analyst agent |
| Entry price | Not public. askEarth is an enterprise geospatial intelligence product used by industry players in energy, insurance, and commodity trading; pricing is not published. | Not published; PangeAI is in early access. Analysts expect a SaaS or enterprise licensing model, unconfirmed. |
| Free / trial | Contact for access. | Early access waitlist; no public free tier or trial |
| Pricing confidence | contact only | contact only |
| Feature | A AskEarth |
P PangeAI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Partial |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
No / Not documented | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
No / Not documented | No / Not documented |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
No / Not documented | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | No / Not documented |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AskEarth |
P PangeAI |
|---|---|---|
|
Entry price Lowest public entry point |
Not public. askEarth is an enterprise geospatial intelligence product used by industry players in energy, insurance, and commodity trading; pricing is not published. | Not published; PangeAI is in early access. Analysts expect a SaaS or enterprise licensing model, unconfirmed. |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
Enterprise engagement; geospatial data and model usage scale with query volume and area analyzed. | Not published; expected SaaS/enterprise licensing (unconfirmed) |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |
Both are early stage with thin documented coverage and neither publishes pricing. Treat this as a survey of a category with two occupants rather than a mature comparison, and validate dataset licensing terms directly, since Earth observation data carries its own restrictions independent of the software.