Buying guides
A search tool, a specialist research product and a platform your engineers run solve different problems. Give suppliers a concrete job before comparing their answers.
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Editorial selection
Nexus is worth starting with when you need both software and people to help put a business process into use. Compare its proposal as a delivery engagement: what gets built, who works with your team and what happens after launch.1,2,3
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Dify is a strong alternative when deployment choice matters and your engineers can take responsibility for the applications and their operation. Compare that ownership work alongside the software.4,5,6
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Glean is a strong starting point when the main job is finding and using company information while retaining the source systems’ access rules. Give it the actual sources and user groups you need to serve.7,8
Buying guides
Before signing, match the demonstration to the quote. Then ask for the right security evidence, work through the running costs and decide what you must get back when the service ends.
Read the articleDelivery help only works when the jobs are clear. Assign the work, try changed permissions and failed actions, and make sure the team taking over can run the process.
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Choose which providers to keep, then focus the evidence on one buying criterion.
Choose at least one provider to compare.
Nexus is worth starting with when you need both software and people to help put a business process into use. Compare its proposal as a delivery engagement: what gets built, who works with your team and what happens after launch.1,2,3
Nexus’s public pages describe engineers building with business teams and staying to improve the agents.1,2
Nexus describes a broad range of integrations and deployment through Slack, Teams, WhatsApp, email, phone and the web.9,10
Nexus describes audit trails, records that trace decision logic and access based on user roles.11
Where will this deployment process model requests and store source records, outputs and logs?
Nexus confirms pricing per role automated without billing for consultant time. Its public commercial material describes a proof of concept before an annual commitment.3,12
Relevance AI is a strong alternative if the first deployment should leave your staff able to build the next one. Its proposed handover matters as much as the initial launch: compare what the team will learn and what it must take over.13,14
Relevance AI describes an embedded team that gets the customer live, then trains its staff.13
The Enterprise plan lists integrations, single sign-on, access based on roles and audit logs.15
Relevance AI lists approvals for individual tools and rules for when approval is needed. It also says evaluations rerun before changes are published.16,17,14
Its Enterprise page says customer data is not used for training. Its changelog describes sending execution traces to a destination the customer owns.18,19
Enterprise purchases go through sales. Published usage documentation separates Actions from Vendor Credits for model and tool usage.20,21,22
Glean is a strong starting point when the main job is finding and using company information while retaining the source systems’ access rules. Give it the actual sources and user groups you need to serve.7,8
Who will connect the sources, correct permissions, help employees get started and tune the Glean setup after launch?
Glean documents enterprise search and a catalog of connections to company applications.7,23
Glean says source permissions apply to reads and writes. It also describes requiring approval before an action runs.24,25
Glean’s security page describes one customer running Glean in its own cloud tenant.26
The pricing address checked for this review redirected to the homepage without a usable price. Ask for a written proposal.27
Copilot Studio makes sense for a team that plans to build within Microsoft’s existing identity, administration and release tools. The buying question is who will configure and run those tools for this process.28,29,30
Microsoft documents a graphical, low-code studio and release pipelines with approval gates.28,30
Microsoft lists prebuilt connectors. Its knowledge documentation also sets conditions for the sources and files that can be used.31,32,33
Copilot Studio integrates with Entra ID and Purview. Microsoft says authenticated users receive knowledge answers only from content they can access.29,34
Microsoft describes data residency alignment for Copilot Studio.29
Microsoft offers credit-based and pay-as-you-go purchasing. Publishing to outside channels requires a standalone Copilot Studio plan.35,36
Consider Gemini Enterprise for an employee search and assistant program built around Google’s editions, projects and access rules. Be precise about which parts you need: the employee app and developer platform are separate purchases.37,38,39
Who will set up the sources, licenses, user access and custom agents for your rollout?
Google lists prebuilt connections for Confluence, Jira, SharePoint and ServiceNow.40
Google describes Gemini Enterprise working under existing user permissions and keeping a complete audit trail.38
The editions page lists US, EU and global data residency options. Google’s security documentation says enterprise data is not used to train its foundation models.41,42
The Gemini Enterprise app and Agent Platform are bought separately. The app is licensed by seat; Agent Platform bills for consumption.39,43,44
WRITER is worth considering when marketing and revenue teams need shared brand knowledge and help putting AI into use. Ask which agent product the proposal uses, and check it against the connections and controls your work needs.45,46,47
WRITER describes transformation leads and deployment engineers, along with Enterprise support and AI program management.47,48
WRITER lists connector tiers. The developer documentation checked for this review says connectors do not support Agent Builder, no-code agents or API integrations.49,50
WRITER describes permissions and approvals. Its developer documentation places different limits on guardrails and event logs for custom builds.51,52,53
WRITER says it does not train models on customer data. It describes managed deployment options, including dedicated private cloud.54,55
Enterprise prices come through sales. Published developer pricing measures usage in credits.56,57
Hebbia deserves a specialist look when financial or deal research needs to be checked against its source documents. Evaluate it on the research your team actually produces, including the conclusions a reviewer may challenge.58,59
Who will set up the research process, connect its sources and teach your team to review the findings?
Hebbia lists financial-data and document connections including FactSet, PitchBook and SharePoint.60
Hebbia describes tracing findings to their sources and seeing who accessed data and what they did.59,61
Hebbia states that regional storage and inference are available in the US and EU. It describes separate customer environments and a dedicated tenant if needed.62,63
What is the full price, including content licenses, setup, regional processing and any dedicated tenant?64,62
Dify is a strong alternative when deployment choice matters and your engineers can take responsibility for the applications and their operation. Compare that ownership work alongside the software.4,5,6
Dify documents self-hosting with Docker Compose. Enterprise lists a customer success manager and support.5,65
Dify provides a Marketplace for tools and integrations.66
Dify Enterprise lists access rules down to workflow level, SCIM user provisioning, session policies and audit controls.67,65
Dify Enterprise describes deployment in a customer’s VPC, on premises or on an air-gapped network.6
Dify publishes cloud plans and a custom Enterprise option. Cloud users can switch to their own model API key after using their message credits.68,69
From the archive
Compare eight enterprise AI platforms on delivery support, integrations, security, pricing and deployment, with a shortlisting checklist by company type.
Read the articleYour application must run on infrastructure you control.
Start the technical evaluation with Dify. Its Enterprise material explicitly describes deployment in a customer’s virtual private cloud (VPC), on premises or on an air-gapped network.6
Trade-off: Your team still needs to run that deployment and test the applications it builds. Agree who maintains the software; a support entitlement does not assign every job.5,65
Colleagues need to find company information without changing who can see it.
Glean’s search focus and stated enforcement of source permissions make it a direct candidate for this job.7,24
Trade-off: The access rules in your source systems still matter. Plan time to correct them and check how changes reach the search results.8
You want your team to build the next workflow after getting help with the first.
Relevance AI describes an embedded team followed by customer training. That offer fits a buyer who wants to develop the skills internally.13
Trade-off: Name the people who will take over, keep the evaluations useful and check how the agents behave in everyday work.13,14,70
Your team needs research for a deal or investment decision.
Hebbia’s finance audience, links from findings to source documents and financial-data connections make it worth a specialist evaluation.58,59,60
Trade-off: Keep the trial tied to the research your team must produce. That fit does not establish that it can handle every other business process, and access to the content needs its own cost check.58,60,64