How is Explore Agentic related to Jarvis AI?

Explore Agentic is published by ASCENDING — the AWS Advanced Consulting Partner that builds Jarvis AI. We disclose this on every page that mentions Jarvis or a competitor, and we mark the Jarvis row in every comparison table. Writing from inside the problem lets us show production patterns instead of secondary-source summaries; the visible disclosure is there so you can weigh the source. The relationship is the point of the site, not a footnote on it.

What's the difference between Jarvis Chat and Jarvis Registry?

Jarvis Chat is the user-facing surface — a multi-LLM enterprise chat that talks to OpenAI, Anthropic, AWS Bedrock, Google Gemini, and DeepSeek with role-based access control, PII redaction, an enterprise knowledge base (RAG), and an embeddable SDK. Jarvis Registry is the integration surface — a universal MCP gateway that exposes enterprise tools (Jira, Confluence, Slack, Snowflake, Databricks, Salesforce) to any client that speaks MCP, with the same governance primitives layered on. Most customers buy both because the value compounds: any tool you wire into Registry becomes available to Chat, and the audit trail is one log instead of two.

How does Jarvis pricing compare to Moveworks or Glean?

Jarvis lists three tiers publicly on AWS Marketplace and Azure Marketplace: $1,500/month Basic (one of Chat or Registry), $2,800/month Pro (both Chat and Registry), and custom Enterprise. All are flat-fee regardless of seat count. Moveworks and Glean do not publish public pricing; their procurement floors are widely understood to start in the six figures annually. The model means Jarvis can credibly land in mid-market deals and regulated-industry pilots that Moveworks/Glean would not respond to. It also means Jarvis is rarely the right answer for a 50,000-seat employee-assistance program with a million-dollar budget — that is the deal Moveworks (now part of ServiceNow) is built for.

Can Jarvis run in my own AWS account?

Yes. Private VPC deployment in the customer's AWS account is one of the headline differentiators, mainly for regulated workloads where data residency and zero training-data-leakage are contractual requirements. The platform also runs in other environments — Azure Marketplace deployment is supported, and the consulting team has done private deployments outside the marketplace path for specific contract vehicles. Self-serve via the marketplace is fastest; the private/regulated path requires a discovery call because the contracting paperwork takes longer than the technical work.

What does MCP-native actually mean for the Registry?

Anthropic released the Model Context Protocol on November 25, 2024 with reference servers for Drive, Slack, GitHub, Postgres, and Puppeteer. On December 9, 2025 the protocol was donated to the Linux Foundation's Agentic AI Foundation, putting governance under a neutral standards body rather than a single vendor. Jarvis Registry implements MCP as a first-class gateway. Any new MCP server the community ships becomes available through Registry without a vendor roadmap dependency. Closed-connector competitors require their roadmap to catch up.

How does the disclosure on this page actually work?

Every page on this site that mentions Jarvis or a directly competing product carries the disclosure banner naming ASCENDING as both the publisher of the editorial site and the company that builds Jarvis. Comparison tables flag the Jarvis row visually. The disclosure is not boilerplate — it changes how you should weigh the rankings. We rank Jarvis honestly in our own tables, including in the categories where it loses, but you should still read our comparisons against an independent second source for the deals that matter.

What does ASCENDING bring beyond the platform — and is the consulting required?

ASCENDING is an AWS Advanced Consulting Partner headquartered in Fairfax, Virginia. The consulting team is what built Jarvis in the first place; they continue to ship implementations alongside the marketplace product. Self-serve marketplace deployment does not require consulting. For private-VPC, contract-vehicle, or regulated-industry deployments — and for customers whose internal platform team does not have MCP bandwidth — the consulting engagement is the pragmatic path. The unusual thing in this market is that you can hire the team that wrote the code, not just an integrator who learned it secondhand.

What questions should I bring to a Jarvis discovery call?

The ones that change the contract: where the data residency boundary is drawn (and which logs cross it), how identity flows (SSO/SAML/OAuth provider, RBAC granularity), which models you can route between and what the routing policy looks like, what the MCP server coverage roadmap is for the tools you depend on, what the audit trail looks like under ISO 42001 / NIST AI RMF terminology, and whether the contract vehicle you need (DIR, GSA, AWS Marketplace private offer, direct PO) is supported. Prepare the data-flow diagram you wish you already had — it forces clarity faster than a feature checklist.

Disclosure: Jarvis AI is a product of ASCENDING Inc., which publishes Explore Agentic. We flag every page that discusses Jarvis and mark comparison tables that include it. Our editorial policy is on the About page.

Buyer's reading guide · Updated April 2026

Explore Jarvis AI

What to read, what to ask, what to bring to a discovery call.

This is a reader's path through Jarvis AI — the agent platform our team builds. We wrote it for the people who landed on /jarvis/ and wanted more context: how the pricing actually works, why MCP-native matters in practice, where Jarvis loses to alternatives, and what to bring to a procurement call. Sourced to public marketplace and partner pages so you can verify the claims independently.

Ryo Hang

Editor-in-Chief

Reviewed by Gloria Qian Zhang

9 min read · Updated April 27, 2026

TL;DR

Three tiers, all flat-fee regardless of seat count: $1,500/month Basic (one of Chat or Registry), $2,800/month Pro (both), and custom Enterprise — listed publicly on AWS Marketplace [1].
Three product surfaces share one Governed AI Layer: Jarvis Chat (multi-LLM with RAG), Jarvis Registry (universal MCP gateway), and platform-level governance (PII detection, RBAC, SSO, audit trails) [2].
MCP-native means Jarvis Registry implements the protocol Anthropic released in November 2024 and donated to the Linux Foundation in December 2025 [3][4] — governance sits at a neutral standards body, not under any single vendor.
Deploys in your AWS account or other environments. Built and supported by ASCENDING, an AWS Advanced Consulting Partner verified in the AWS Partner Solutions Finder [6].
Where Jarvis loses: 50,000-seat employee-assistance programs with logo-wall budgets (Moveworks [7]), the broadest enterprise-search connector catalog (Glean), and ServiceNow- or M365-mandate accounts.

Chapter 01 · The three components

What you're actually buying

Jarvis AI is one platform packaged as three product surfaces, all sharing the same governance primitives. The three surfaces are Jarvis Chat, Jarvis Registry, and the Governed AI Layer they both ride on [2]. The reason it ships this way — rather than as a single monolithic product — is that the three surfaces solve different procurement problems. Chat is what end-users see; Registry is what platform engineering wires up; the Governed Layer is what security and compliance sign off on.

Jarvis Chat is an enterprise multi-LLM chat. It routes between OpenAI, Anthropic, AWS Bedrock, Google Gemini, and DeepSeek behind one interface. Access control is RBAC with SSO, SAML, and OAuth; PII detection runs on inputs and outputs; the enterprise knowledge base is RAG-grounded; the chat ships with an embeddable JavaScript SDK so it can drop into existing internal portals. The day-one experience for a typical user is: open the workspace, see their team's curated tools and knowledge sources, and start querying — with the audit trail accumulating quietly in the background.

Jarvis Registry is a universal MCP gateway. The clients it speaks to include Claude Desktop, Claude Code, VS Code, Cursor, GitHub Copilot, Microsoft Copilot, Windsurf, ChatGPT, and Jarvis Chat itself. The servers it brokers include the enterprise tools that come up in every procurement deck — Jira, Confluence, Slack, Google Workspace, PostgreSQL, Snowflake, Docker, AWS, GitHub, Atlassian, Databricks, Salesforce [5]. The point is composability: any client that speaks MCP can use any server that speaks MCP, with one credential broker, one policy layer, and one audit log.

The Governed AI Layer is the part security cares about. PII and DLP detection, RBAC, SSO/SAML/OAuth, audit logs, LLM routing — these are platform primitives, not add-ons bolted on per product. The same governance applies whether the call comes through Chat, Registry, an embedded SDK, or a pure agent loop. That is the procurement story: one set of controls to review, not three.

Chapter 02 · The pricing model

Walked through, with the why

Three tiers, all flat-fee regardless of how many people use them [1]. The structure is unusual enough in this category that it deserves its own page.

Basic — $1,500/month. A deployment of either Jarvis Chat or Jarvis Registry. The seat-blind pricing is the headline: a 200-person team and a 1,200-person team pay the same. This is the mid-market entry point and it is the tier most enterprises start with when they want to pilot one of the surfaces against a real workload before committing to both.

Pro — $2,800/month. A deployment of both Chat and Registry, sharing the same governance layer. The math is intentional — buying both as Pro is meaningfully cheaper than two Basics, and it surfaces the value of the shared Governed Layer (one audit log, one identity integration, one policy review). Most customers who started with Basic move here within the first quarter.

Enterprise — custom. Pro plus security guardrails, audit capabilities, governance controls, and other custom features tailored to specific contractual constraints. Common reasons to land here: regulated-industry deployment that cannot use the marketplace contract vehicle, GovCloud or other private-cloud requirements, enterprise contract vehicles like Texas DIR or GSA [10], or governance language that needs to align to ISO 42001 [8] or NIST AI RMF [9] in specific ways.

The reason this matters in the broader market: Moveworks and Glean do not publish public pricing, and their procurement floors are widely understood to sit in the six figures annually. The flat-fee Jarvis tiers credibly land in mid-market deals and regulated pilots that the larger vendors do not respond to. The trade-off is real — for a 50,000-seat employee-assistance program with a million-dollar budget, Moveworks (now a ServiceNow product [7]) is the deal you should run.

Chapter 03 · Protocol context

Why MCP-native matters in practice

The Model Context Protocol arrived as an Anthropic research draft on November 25, 2024 with reference servers for Google Drive, Slack, GitHub, Git, PostgreSQL, and Puppeteer, plus SDKs in Python, TypeScript, C#, and Java [4]. Fourteen months later — December 9, 2025 — Anthropic donated the protocol to the Linux Foundation, where it now sits as the centerpiece of the new Agentic AI Foundation alongside multi-vendor governance [3]. That sequence matters. The protocol is no longer a vendor-controlled artifact whose roadmap can be re-shaped by acquisition or product strategy. It is a standard whose servers and clients can be built by anyone, and whose governance answers to a neutral foundation.

What "MCP-native" means in product terms: Jarvis Registry implements MCP as the gateway's first-class protocol surface, not a plugin or an export [5]. When a new MCP server lands in the community ecosystem — for a tool your team already uses — Registry inherits it. There is no vendor roadmap to wait on. Closed-connector competitors face a different math: their integration surface only grows when their engineering team prioritises it, and the longer the queue gets, the slower each new tool ships.

The procurement implication is not subtle. If you believe the next five years of enterprise integration converge on MCP — and the Linux Foundation move is hard evidence the major model providers and platform vendors agree — then betting on a closed-connector platform commits you to a roadmap dependency that the rest of the market is moving away from. Jarvis Registry is positioned to ride the standard. Verify this against the protocol's own documentation and the donation announcement; do not take the vendor's word for it.

Chapter 04 · Field placement

Where Jarvis sits relative to alternatives

A four-dimension snapshot. The full per-vendor side-by-sides — including the categories where Jarvis loses — live in our comparisons library. Read those before signing anything; this table is the ten-second version.

Vendor	Public pricing floor	MCP posture	Multi-LLM	Private deployment
Jarvis AI (disclosure)	$1,500/mo, marketplace-published [1]	Native gateway (Registry) [5]	Yes — OpenAI, Anthropic, Bedrock, Gemini, DeepSeek	Private VPC supported
Moveworks (ServiceNow) [7]	Not public; six-figure floor widely cited	Selective MCP support; closed connectors historically	Limited; ServiceNow-led roadmap	SaaS-only
Glean	Not public; six-figure floor widely cited	Closed-connector first; broadest catalog in category	Multi-model on the chat surface	Private deployment available for enterprise tier
Microsoft Copilot Studio	Bundled with M365 Copilot or per-message	MCP support added in 2025; Microsoft-curated server set	Azure / OpenAI primary path	Tied to Azure tenancy

The table does not say Jarvis wins on every row. It says Jarvis competes credibly on the rows that matter for mid-market and regulated-industry buyers — and that the right answer for the largest employee-assistance deals or the deepest M365 shops sits elsewhere. Read the full pages: Jarvis vs Moveworks, Jarvis vs Glean, Jarvis vs Copilot Studio.

Chapter 05 · Getting it stood up

Deployment paths

Three paths, each suited to a different procurement reality. Pick the one that matches your contracting constraints first, then optimise.

AWS Marketplace self-serve. Subscribe via the AWS Marketplace listing [1]. The contract vehicle is the marketplace agreement; billing flows through your existing AWS bill. Time to first chat session: under a day for teams who already have an AWS account and an SSO provider configured. This is the path most pilots and mid-market deployments take. Azure Marketplace is the equivalent surface for Azure-centric procurement.

Private VPC / regulated. A private deployment in your AWS account, with data residency and audit boundaries you control. The platform is identical; what changes is the operational ownership and the contract paperwork. This is the path for healthcare, financial services, government, and any account where data leaving your boundary is a contracting blocker. Time to first chat session: weeks rather than days, because most of the work is contractual rather than technical.

Consulting-backed. The ASCENDING team that built Jarvis also implements it for customers as part of an AWS consulting engagement [6]. Useful when your platform engineering team does not have MCP bandwidth, when the deployment crosses a contract vehicle the marketplace doesn't cover, or when the use case requires custom MCP servers for tools that don't have community connectors yet. The ASCENDING team has done deployments under Texas DIR, University of Arizona, VASCUPP, Louisiana, Florida DMS, BCPS, and TIPS contract vehicles among others [10]; if you need contract-vehicle evidence rather than a vendor self-claim, check the AWS Partner Solutions Finder directly [6].

Chapter 06 · Procurement

The questions to bring to a discovery call

These are the questions that change the contract, not the demo. Prepare the answers you wish you already had — a data-flow diagram and an identity map will save more time than any feature checklist.

01. Data residency boundary. Where does the boundary sit, and which logs, prompts, embeddings, and evals cross it? "Stays in your account" needs to be specific about every storage surface.
02. Identity flow. Which IdP (Okta, Azure AD, Ping)? SSO/SAML/OAuth flavour? How does RBAC granularity map to the policies your existing tools enforce?
03. Model routing policy. Which models can be routed between, who controls the routing rules, and what does the audit trail show when a routing decision is made automatically?
04. MCP server roadmap. For the enterprise tools you depend on, which already have MCP servers, which are on the public roadmap, and what is the path if you need a custom server built?
05. Audit trail format. What does the audit log look like under ISO 42001 [8] or NIST AI RMF [9] terminology? Can it satisfy your existing SOC 2 / HIPAA / FedRAMP evidence pipeline?
06. Contract vehicle. Marketplace private offer, direct PO, GSA, DIR, AWS Co-Sell, university consortium? The right vehicle changes the procurement timeline by months.
07. Pilot scope. What is the smallest deployment that will produce a defensible ROI signal in 60–90 days? Identify the workload, the metric, and the evidence trail before signing the pilot contract.
08. Off-ramp. What does the data export look like at end of contract? "We export your data" needs to specify format, completeness, and retention window.

Reader questions

Frequently asked

Eight questions our team gets in discovery calls and reader emails. Each answer is rendered visibly above and emitted to FAQPage structured data so search engines can surface it directly.

01 How is Explore Agentic related to Jarvis AI?: Explore Agentic is published by ASCENDING — the AWS Advanced Consulting Partner that builds Jarvis AI. We disclose this on every page that mentions Jarvis or a competitor, and we mark the Jarvis row in every comparison table. Writing from inside the problem lets us show production patterns instead of secondary-source summaries; the visible disclosure is there so you can weigh the source. The relationship is the point of the site, not a footnote on it.
02 What's the difference between Jarvis Chat and Jarvis Registry?: Jarvis Chat is the user-facing surface — a multi-LLM enterprise chat that talks to OpenAI, Anthropic, AWS Bedrock, Google Gemini, and DeepSeek with role-based access control, PII redaction, an enterprise knowledge base (RAG), and an embeddable SDK. Jarvis Registry is the integration surface — a universal MCP gateway that exposes enterprise tools (Jira, Confluence, Slack, Snowflake, Databricks, Salesforce) to any client that speaks MCP, with the same governance primitives layered on. Most customers buy both because the value compounds: any tool you wire into Registry becomes available to Chat, and the audit trail is one log instead of two.
03 How does Jarvis pricing compare to Moveworks or Glean?: Jarvis lists three tiers publicly on AWS Marketplace and Azure Marketplace: $1,500/month Basic (one of Chat or Registry), $2,800/month Pro (both Chat and Registry), and custom Enterprise. All are flat-fee regardless of seat count. Moveworks and Glean do not publish public pricing; their procurement floors are widely understood to start in the six figures annually. The model means Jarvis can credibly land in mid-market deals and regulated-industry pilots that Moveworks/Glean would not respond to. It also means Jarvis is rarely the right answer for a 50,000-seat employee-assistance program with a million-dollar budget — that is the deal Moveworks (now part of ServiceNow) is built for.
04 Can Jarvis run in my own AWS account?: Yes. Private VPC deployment in the customer's AWS account is one of the headline differentiators, mainly for regulated workloads where data residency and zero training-data-leakage are contractual requirements. The platform also runs in other environments — Azure Marketplace deployment is supported, and the consulting team has done private deployments outside the marketplace path for specific contract vehicles. Self-serve via the marketplace is fastest; the private/regulated path requires a discovery call because the contracting paperwork takes longer than the technical work.
05 What does MCP-native actually mean for the Registry?: Anthropic released the Model Context Protocol on November 25, 2024 with reference servers for Drive, Slack, GitHub, Postgres, and Puppeteer. On December 9, 2025 the protocol was donated to the Linux Foundation's Agentic AI Foundation, putting governance under a neutral standards body rather than a single vendor. Jarvis Registry implements MCP as a first-class gateway. Any new MCP server the community ships becomes available through Registry without a vendor roadmap dependency. Closed-connector competitors require their roadmap to catch up.
06 How does the disclosure on this page actually work?: Every page on this site that mentions Jarvis or a directly competing product carries the disclosure banner naming ASCENDING as both the publisher of the editorial site and the company that builds Jarvis. Comparison tables flag the Jarvis row visually. The disclosure is not boilerplate — it changes how you should weigh the rankings. We rank Jarvis honestly in our own tables, including in the categories where it loses, but you should still read our comparisons against an independent second source for the deals that matter.
07 What does ASCENDING bring beyond the platform — and is the consulting required?: ASCENDING is an AWS Advanced Consulting Partner headquartered in Fairfax, Virginia. The consulting team is what built Jarvis in the first place; they continue to ship implementations alongside the marketplace product. Self-serve marketplace deployment does not require consulting. For private-VPC, contract-vehicle, or regulated-industry deployments — and for customers whose internal platform team does not have MCP bandwidth — the consulting engagement is the pragmatic path. The unusual thing in this market is that you can hire the team that wrote the code, not just an integrator who learned it secondhand.
08 What questions should I bring to a Jarvis discovery call?: The ones that change the contract: where the data residency boundary is drawn (and which logs cross it), how identity flows (SSO/SAML/OAuth provider, RBAC granularity), which models you can route between and what the routing policy looks like, what the MCP server coverage roadmap is for the tools you depend on, what the audit trail looks like under ISO 42001 / NIST AI RMF terminology, and whether the contract vehicle you need (DIR, GSA, AWS Marketplace private offer, direct PO) is supported. Prepare the data-flow diagram you wish you already had — it forces clarity faster than a feature checklist.

Next step

When you're ready to talk specifics

Read the product page for the canonical pricing tiers, the verified-customer review, and the differentiators we lead with. Or jump to the AWS Marketplace listing if you have a marketplace contract vehicle you want to sign against.

See the Jarvis product page AWS Marketplace listing

References

Sources & citations

Each [n] above points here. URLs go to the publisher's canonical page. The access date is the day we last opened the link and confirmed the cited claim was still on the page. If a source has rotted, file a correction at /about#corrections.

[1]
AWS Marketplace . Jarvis: Simplifying AI Adoption
https://aws.amazon.com/marketplace/pp/prodview-ckf77lbx67sx2 · accessed 2026-04-27

Canonical pricing surface for the Basic and Pro tiers; the listing page also carries the verified-customer review reproduced on /jarvis/.
[2]
ASCENDING Inc. . Jarvis AI — Enterprise AI Platform, Governed by Design
https://ascendingdc.com/jarvis-ai/ · accessed 2026-04-27

Vendor product page covering the three components and their shared governance layer.
[3]
Anthropic . Donating the Model Context Protocol and establishing the Agentic AI Foundation
https://www.anthropic.com/news/donating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation · accessed 2026-04-27

December 9, 2025. Establishes that MCP governance now sits at the Linux Foundation, not under any single vendor.
[4]
Anthropic . Introducing the Model Context Protocol
https://www.anthropic.com/news/model-context-protocol · accessed 2026-04-27

November 25, 2024 launch. Reference servers for Drive, Slack, GitHub, Postgres, Puppeteer; SDKs in Python, TypeScript, C#, Java.
[5]
ASCENDING Inc. . Jarvis Registry — Enterprise MCP & Agent Gateway
https://ascendingdc.com/jarvis-ai/jarvis-registry/ · accessed 2026-04-27

Lists the IDE clients (Claude Desktop, Claude Code, VS Code, Cursor, GitHub Copilot, Microsoft Copilot, Windsurf, ChatGPT, Jarvis Chat) and enterprise tool servers (Jira, Confluence, Slack, Snowflake, Databricks, Salesforce, etc.) currently mediated by the gateway.
[6]
AWS Partner Network . ASCENDING Inc. — AWS Partner Solutions Finder
https://partners.amazonaws.com/partners/0010L00001v2JNtQAM/ASCENDING%20Inc · accessed 2026-04-27

Verifies AWS Advanced Consulting Partner status. Useful when procurement asks for partner tier evidence rather than a vendor self-claim.
[7]
TechCrunch . ServiceNow buys Moveworks for $2.85B to grow its AI portfolio
https://techcrunch.com/2025/03/10/servicenow-buys-moveworks-for-2-85b-to-grow-its-ai-portfolio/ · accessed 2026-04-27

March 10, 2025. Background context for the Moveworks roadmap shift mentioned below.
[8]
ISO . ISO/IEC 42001:2023 — AI management system
https://www.iso.org/standard/42001 · accessed 2026-04-27

The first international management-system standard for AI, increasingly cited in enterprise procurement language.
[9]
NIST . AI Risk Management Framework
https://www.nist.gov/itl/ai-risk-management-framework · accessed 2026-04-27

U.S. NIST framework used as the structural basis for many enterprise AI governance programs.
[10]
ASCENDING Inc. . Company overview — Why ASCENDING
https://ascendingdc.com/about/company-overview/ · accessed 2026-04-27

Headquarters at 2751 Prosperity Avenue, Suite 240, Fairfax, VA 22031. Public-sector contract vehicles include Texas DIR, University of Arizona, VASCUPP, Louisiana, Florida DMS, BCPS, TIPS.