Xyne is live · custom pricing · last verified 20 Oct 2026 · viability monitor

Xyne

Xyne

Self-hosted, permission-aware enterprise AI search, agents, and support that runs on your own servers

69/100MonitorCustom pricingContact Sales

Pick Xyne when data residency and permission fidelity are genuine blockers — an Apache 2.0 codebase with five shipped apps is rare at this layer. Skip it if you want a credit-card signup and answers by Friday; the forward-deployed motion is consulting-shaped and assumes engineering involvement. Next to Glean it gives up day-one connector breadth and wins on lock-in.

Verdict generated

Verified 10d ago · liveness 69/100 · cite: rightaichoice.com/tools/xyne

Best for
  • Enterprises that require data sovereignty and self-hosted AI deployment
  • Regulated industries like fintech needing audit trails and permission boundaries
  • Organizations building custom agents over internal SaaS apps and APIs
  • Teams wanting an open-source alternative to Glean with model choice
Not ideal for
  • Buyers without engineering capacity to run a self-hosted deployment
  • Organizations needing day-one connectors to niche or homegrown internal tools
  • Companies optimizing purely for fastest time-to-value over control and longevity
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AdvancedSelf-hosted deployments: expect days to weeks, driven by connector configuration and getting permission mirroring right — this is an infrastructure project, not an install. Forward-deployed customers: Juspay assigns a dedicated deployment lead, so first value depends on a tailored onboarding engagement rather than a fixed clock. Teams evaluating Search alone as a pilot will reach a usable answerWebAPI availableVerified 10d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Advanced
Self-hosted deployments: expect days to weeks, driven by connector configuration and getting permission mirroring right — this is an infrastructure project, not an install. Forward-deployed customers: Juspay assigns a dedicated deployment lead, so first value depends on a tailored onboarding engagement rather than a fixed clock. Teams evaluating Search alone as a pilot will reach a usable answer
Runs on
Web
API available · 9 integrations
Who it's for
Platform engineer at a fintechSales operations leadHead of customer support
Live sentiment
Is Xyne actually worth it?

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Skip it if

Skip Xyne if you want to sign up and start searching within the hour, or if you lack an engineering team that can run a self-hosted deployment or absorb a forward-deployed consulting engagement.

Skip-it-if note generated
The 30-second take
Biggest gripe

Model inference is billed or absorbed separately from the platform — the orchestrator routes cheap queries to cheaper models precisely because token spend scales with your query volume.

Price reality

Xyne does not publish tier pricing on the pages we could reach, so positioning is by shape rather than number: the self-hosted Apache 2.0 route suits engineering-led organizations who pay in infrastructure and staff time instead, while the forward-deployed route functions like an enterprise services engagement. Compare against Glean or Microsoft Copilot, which sell per-seat SaaS and are cheaper to start but keep your data on their terms.

Generated

In short

Xyne — Self-hosted, permission-aware enterprise AI search, agents, and support that runs on your own servers. Best for Enterprises that require data sovereignty and self-hosted AI deployment, Regulated industries like fintech needing audit trails and permission boundaries, Organizations building custom agents over internal SaaS apps and APIs. Pricing is on request (custom quotes).

What is Xyne?

Xyne — Self-hosted, permission-aware enterprise AI search, agents, and support that runs on your own servers. Best for Enterprises that require data sovereignty and self-hosted AI deployment, Regulated industries like fintech needing audit trails and permission boundaries, Organizations building custom agents over internal SaaS apps and APIs. Pricing is on request (custom quotes).

Contact SalesAdvancedAPI availableWeb

Xyne is an Apache 2.0 licensed enterprise AI platform built and dogfooded by Juspay, the payments company running billions of transactions across multiple regulatory environments. It targets organizations where data sovereignty, model choice, and code longevity are procurement requirements rather than nice-to-haves: everything runs on servers you control, existing permissions are mirrored so no human or agent sees more than they already could, and the model layer stays swappable. The surface is five AI-native applications. Search answers questions across 100+ connectors such as Slack, Jira, and Drive with citations attached to every answer. Spaces pulls chats, calls, tickets, and canvas into one workspace with agents working alongside the team. Claw lets people build agents for processes they already know, connecting to SaaS over MCP or internal APIs and chaining agents for multi-step workflows. Scribe is a meeting notepad for Zoom, Meet, Teams, or in-room sessions that writes outcomes back into systems of record, and Desk covers support across email, WhatsApp, chat, and voice with auto-reply or human-reviewed drafts. Underneath sits the platform layer: a model orchestrator that routes cheap queries to cheaper models, a context graph, hybrid database, memory, guardrails, observability, and MCP/CLI/API tool connections. Two open-source pieces extend the stack: XOR, a multimodal decision model built on Qwen3.6 with a 260k context window that scores 77.5% on the JevBench v1.2 hard tier, and Streamgres, a Rust sync engine for PostgreSQL. Against Glean-style enterprise search, the differentiator is structural rather than feature-level: open code, swappable models, your infrastructure. Delivery runs product-led or forward-deployed, with a Juspay team building the implementation and owning change management.

Key features

  • Apache 2.0 open-source license with self-hosting on your own servers
  • Permission-aware access mirroring existing org permissions for humans and agents
  • Model-agnostic orchestration with no lock-in to a single model provider
  • Model cost routing that sends simple queries to cheaper models automatically
  • Search with per-answer citations across 100+ app connectors
  • Spaces — unified workspace for chats, calls, tickets, and canvas
  • Claw agent builder with guardrails, evals, and memory standard
  • Chain multiple agents for multi-step workflows over MCP or internal APIs
  • Scribe AI meeting notepad for Zoom, Meet, Teams, and in-room meetings
  • Scribe writes meeting outcomes into CRM and ticket systems of record
  • Desk support automation with auto-reply or human-reviewed drafts
  • Support channels including email, WhatsApp, chat, and voice
  • Self-updating knowledge base with human sign-off
  • Human-in-the-loop approval on every agent outcome
  • XOR open-weights multimodal decision model on Qwen3.6 with 260k context

Behind the verdict

We'd reach for Xyne in a specific situation: the security review has already killed the SaaS-first enterprise search vendors, and someone in the room has said the words "self-hosted or nothing." At that point the field narrows fast, and an Apache 2.0 platform with search, an agent builder, a meeting notepad, and a support desk already shipped is a real option rather than a whitepaper. The permission mirroring is the part that matters most in practice. Most enterprise AI pilots die in the second security review, not the first — someone asks whether an agent can surface a document the user couldn't have opened themselves, and the answer turns out to be "we think so." Xyne's design answer is that humans and agents inherit the same boundaries, plus human-in-the-loop approval on agent outcomes. If you operate under audit, that single design choice saves months. Model portability is the second differentiator. The orchestrator routes cheap queries to cheaper models and keeps the provider swappable, which means you aren't renegotiating a contract every time a better model ships. Team Claw around workflows people already know — connecting SaaS over MCP or internal APIs — and chaining agents where a task genuinely spans systems. Where it bites: connector breadth. The profile lists around a dozen named integrations rather than the sprawling catalog a hosted competitor advertises, so if your stack lives in niche or homegrown internal tools you should plan connector work into the rollout. Self-hosting also means someone owns upgrades, Postgres, and the observability stack. Xyne will not remove that job. The closest alternative is Glean. Glean wins on day-one connector coverage and a faster path to answers; Xyne wins on code ownership, model choice, and where the data sits. We'd

Models under the hood

XORQwen3.6

as of 2026-10-17

Limitations

  • Xyne is model-agnostic and self-hosted, so the platform itself does not ship a fixed set of underlying models; you choose and swap models, which means deployment, model selection, and change management are your responsibility.
  • Setup requires real technical expertise to run on your own servers, and capabilities are delivered through a forward-deployed team rather than a simple self-serve signup.
  • Pricing is not published on the pages we could reach, so cost cannot be estimated without contacting the vendor.

as of 2026-10-08

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Is Xyne still active?

Xyne is live · custom pricing · last verified 20 Oct 2026 · viability monitor.

Viability score

69/100
Monitor

How well maintained and how widely used is Xyne? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
87
Site health
95
identity move
not measured
User sentiment
25
What the vendor publishes
40

Last calculated: October 2026

How we score →

What do users say about Xyne?

What people actually say about Xyne — is it worth it?

Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

How we verified this

Every listed fact about Xyne— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 20 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.

Verification history

We have re-verified Xyne 13 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed description, summary, integrations
  2. — changed who should skip it, our verdict, description
  3. — changed features, description, summary, our verdict
  4. — changed limitations, pricing page
  5. — changed features, description, summary, who it suits, who should skip it, our verdict, integrations
  6. — changed website status

Showing the 6 most recent of 13 verification passes.

Free to cite with attribution — this page re-verifies continuously.

How much does Xyne cost in 2026?

Xyne: Pricing is on request (custom quotes). Pricing last verified 20 Oct 2026.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Model inference is billed or absorbed separately from the platform — the orchestrator routes cheap queries to cheaper models precisely because token spend scales with your query volume.
  • Self-hosting means you carry the infrastructure, upgrade, and on-call cost yourself; budgeting for Xyne without budgeting for the engineers who run it understates the total.
  • The forward-deployed path assigns a dedicated implementation lead and product customization work, which is a services commitment layered on top of the platform license.
  • Connector expansion beyond the documented SaaS set means custom integration work through MCP or internal APIs, and that is build time you own.

Where the pricing makes sense

The company stage and team size where Xyne's pricing actually pencils out — and where peers do it cheaper.

Xyne does not publish tier pricing on the pages we could reach, so positioning is by shape rather than number: the self-hosted Apache 2.0 route suits engineering-led organizations who pay in infrastructure and staff time instead, while the forward-deployed route functions like an enterprise services engagement. Compare against Glean or Microsoft Copilot, which sell per-seat SaaS and are cheaper to start but keep your data on their terms.

Hidden-cost and price-fit notes generated

Has Xyne's pricing changed?

No plan price for Xyne has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick Xyne?

Pick Xyne if you are Enterprises that require data sovereignty and self-hosted AI deployment, Regulated industries like fintech needing audit trails and permission boundaries, Organizations building custom agents over internal SaaS apps and APIs, Teams wanting an open-source alternative to Glean with model choice.

Look elsewhere if you are Buyers without engineering capacity to run a self-hosted deployment, Organizations needing day-one connectors to niche or homegrown internal tools, Companies optimizing purely for fastest time-to-value over control and longevity.

Skip it if Skip Xyne if you want to sign up and start searching within the hour, or if you lack an engineering team that can run a self-hosted deployment or absorb a forward-deployed consulting engagement.

Generated

Real-world workflow fit

Concrete scenarios for the personas Xyne actually fits — and what changes day-one when you adopt it.

Platform engineer at a fintech

Self-hosts Xyne on internal servers, points Search at Google Workspace, Slack, Jira and Postgres, and verifies that permission mirroring holds — a support agent and a finance lead get different answers to the same question.

Outcome: Internal search goes live without any data leaving the premises, and the permission model satisfies the audit team's review.

Sales operations lead

Uses Scribe on Zoom calls so meeting notes write directly into the CRM, then builds a Claw agent that enriches the record with context pulled from Drive and past resolutions.

Outcome: Reps stop doing manual CRM data entry after calls, and pipeline records stay current without a separate ops task.

Head of customer support

Routes email and WhatsApp tickets into Desk, which drafts replies from internal policies and past resolutions for a human to review and send.

Outcome: Agents start from a grounded draft instead of a blank page, and the knowledge base updates from resolutions with a person still signing off.

Workflow scenarios generated

Use cases

Setup time & first value

How long it actually takes to get something useful out of Xyne — broken out by persona, not the marketing-page minute.

Self-hosted deployments: expect days to weeks, driven by connector configuration and getting permission mirroring right — this is an infrastructure project, not an install. Forward-deployed customers: Juspay assigns a dedicated deployment lead, so first value depends on a tailored onboarding engagement rather than a fixed clock. Teams evaluating Search alone as a pilot will reach a usable answer

Switching to or from Xyne

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Glean: keep Glean running while you point Xyne Search at the same connectors, compare answer quality on a fixed question set, then cut over once permission mirroring is verified.
  • →From enterprise keyword search (Confluence search, SharePoint search): connect your existing sources to Xyne's 100+ connectors and let the answer engine layer on top of what you already index.
  • →From a homegrown RAG pipeline: replace the retrieval and orchestration layers with Xyne's context graph and model orchestrator, and keep your existing data stores via the hybrid DB and MCP connections.
  • →From Microsoft Copilot: run Xyne alongside it for the workloads where data residency matters, then consolidate once self-hosting is stable.
Migrating out
  • ↗To Glean: export your connector configuration and re-index into Glean's SaaS, accepting that your data now lives on Glean's infrastructure.
  • ↗To Microsoft Copilot: consolidate onto Copilot if your stack is already Microsoft-centric and you are willing to trade self-hosting for integration depth.
  • ↗To a homegrown stack: the Apache 2.0 license means you can fork the codebase and run your own version, though you take on maintenance of the orchestrator, connectors, and agent runtime.
  • ↗To a point solution: if you only ever used Xyne Search, a dedicated AI search vendor may be simpler than running the full platform.

Integrations

Google WorkspaceSlackJiraAtlassianPostgresZoomMicrosoft TeamsGoogle MeetGoogle Drive

Tutorials & Learning

YouTube returned 6 videos for “Xyne”, and we withheld 6: 6 could not be judged, because “Xyne” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Xyne.

What are the best Xyne alternatives?

The closest alternatives to Xyne we list are Glean, Onyx and Pipeshub Ai. Ranked by direct product-type match, not category overlap.

Closest alternatives to Xyne
AlternativePricingStarts atLast verified
GleanContact SalesCustom pricing—
OnyxFreemiumPricing not published—
Pipeshub AiFreemiumPricing not published—

Alternatives to Xyne

View all
Glean

Glean

Enterprise AI search, assistant and agents grounded in your company's permission-aware context across 250+ apps.

Contact SalesTry
Onyx

Onyx

Onyx delivers permission-aware enterprise AI search and chat across 50+ connected sources, self-hosted or air-gapped.

FreemiumTry
Pipeshub Ai

Pipeshub Ai

PipesHub is open-source, permission-aware workplace AI search and agents with page-level citations you can audit.

FreemiumTry

Tools that pair well with Xyne

Common stack mates teams adopt alongside Xyne, with the specific reason each pairing earns its keep.

Xyne vs its closest rival

Xyne's closest head-to-head is with Geologicai — For critical-mineral mining companies needing rapid, end-to-end core analysis, GeologicAI is the clear choice with its unique multi-sensor suite and decision engineering platform. For organizations that prioritize data privacy and want an open-source AI search engine over internal tools like Google Workspace, Xyne offers a compelling, self-hosted alternative. Choose GeologicAI for geological workflows; choose Xyne for internal knowledge management. Verdict generated

Head-to-head comparisons

Frequently asked questions

Used Xyne? Help shape our editorial sentiment research.