Company Brain · Enterprise search
Enterprise search software for knowledge spread across your stack.
One question, one sourced answer, across the drives, wikis and business systems your knowledge is scattered over.
How it works
Connect the sources, retrieve the context.
Growy focuses on access to company knowledge across existing systems, then returns an answer from that connected context rather than asking teams to move everything into one search repository.
Connect where knowledge already lives
Growy can use uploaded documents such as SOPs, manuals and procedures, plus live integrations with more than 3,000 integrations. Connected systems are queried directly rather than treated only as a static snapshot.
Source types
Respect the source permissions
Permissions are inherited from the connected system. A person or agent only accesses information that the source application already allows them to see, so the search layer does not create a separate, broader permission model.
Access
Return a sourced answer when configured
Growy can be instructed at system-prompt level to surface citations, source dates, owners and permission status alongside an answer. Those fields are configurable, not a fixed search interface that appears by default.
Answer context
Interactive demo
Know what Growy search is, and what it is not.
The Company Brain includes enterprise search capability, but Growy is deliberately not presented as a dedicated search engine with its own ranking console and search analytics suite.
Try one
Problem → Solution
The answer exists. Finding it is the hard part.
Enterprise search becomes difficult when each system has its own search box, permission model and vocabulary.
Fragmented search
- Employees search one tool at a time
- A document search ignores live business systems
- A result gives a link but little evidence
- A new search layer risks bypassing access rules
Connected company context
- The Company Brain can draw from connected sources in one context layer
- Uploaded knowledge can sit alongside live integrations
- Citations and source metadata can be surfaced with the answer when configured
- Permissions stay inherited from the source system
The basics
What is enterprise search software?
Enterprise search software helps employees retrieve information across multiple company data sources from a unified search experience. Instead of relying on separate search boxes for a document management system, intranet, knowledge base and business applications, enterprise search creates a retrieval layer across structured and unstructured content. The objective is simple: reduce time spent searching and make relevant internal knowledge easier to use.
The category covers several technical approaches. Traditional enterprise search engines build an index and rank documents. Modern platforms may add semantic search, natural language processing, vector retrieval, hybrid search, permission-aware results and AI-generated answers. Buyers also look for access controls, filters, relevance tuning, analytics and administration. Those features matter because a good search experience is not only about finding a document. It is about finding the right information for the right user, with enough context to trust the result.
Growy sits next to this category rather than claiming to replace every dedicated enterprise search platform. Search is a capability inside the Company Brain, where uploaded documents and live connected systems provide context for people and agents. Growy does not currently publish a dedicated search interface, ranking controls, filters or search-specific analytics. Its stronger fit is for teams that want connected company knowledge to support answers and agent workflows, not a standalone search product with a specialist search administration layer.
What it does
Enterprise search features to evaluate before you buy.
Some features define the search category. Others determine whether the platform will actually work inside your security model and daily workflow.
Broad, connected data sources
Enterprise search should reach the places where internal content and operational data already live. Growy confirms support for uploaded documents and more than 3,000 integrations. That lets the Company Brain combine stable knowledge such as SOPs with context from connected business applications.
Permission-aware access
Search quality means little if the result exposes information the user should not see. Growy inherits permissions from the connected source. The agent or assistant only accesses what the user is authorized to access in that system, keeping enterprise search aligned with existing access control.
Sourced answers
For many users, an answer is more useful than a ranked list of links. Growy can return citations, source date, owner and permission status with a response when those elements are configured in the system prompt. This helps the user inspect where an answer came from rather than treating generated text as an unsupported conclusion.
A clear boundary between search and agent work
Growy uses the same Company Brain as context for assistants and AI agents. That means retrieved knowledge can support an action after the answer is found.
Know the difference
Enterprise search software is not the same as every knowledge tool.
The tools overlap, but each starts from a different problem and produces a different user experience.
Finding pages and files published inside a company intranet.
Usually stays inside one environment and may not reach operational systems or external knowledge tools.
Organizing, governing and maintaining company knowledge in a repository or knowledge program.
May depend on content being created and maintained inside the KMS before it can be found.
Indexing many sources with ranking, filters, search analytics and administrative controls.
Often ends with a result set or document list rather than carrying the context into an automated business workflow.
Connecting uploaded knowledge and live systems so assistants and agents can retrieve company context and, when configured, return sourced answers.
It is not presented as a standalone search product with dedicated ranking, filter or search administration features.
Seen enough? Bring us one workflow.
Who it's for
Enterprise search is most useful when knowledge is spread across tools.
The value rises with the number of systems a team has to search and the cost of waiting for the right answer.
Operations teams
Operations staff often need procedures, account context and live system information in the same task. Connected retrieval can reduce the number of places they have to check before acting.
Customer support
Support teams need fast access to policies, product information and customer context. A sourced answer can be more useful than sending an agent through several search results before replying.
Knowledge and enablement teams
These teams care about discoverability, source trust and whether employees can actually use the material being maintained. Enterprise search can expose where access, naming and knowledge structure are getting in the way.
IT and security
IT teams evaluate connector coverage, access control, data handling and the operational burden of another search layer. Source-inherited permissions are central to the Growy approach.
Best practice
How to choose enterprise search software for your actual environment.
The best enterprise search tool is the one that fits your source systems, access model and search behavior, not the one with the longest feature list.
Map the data sources before comparing vendors
List the systems employees search today, including document stores, wikis, ticketing tools, CRM, collaboration platforms and specialist applications. Note which sources are authoritative and which contain duplicate or secondary information. Connector coverage should be tested against that map. Comparing enterprise search solutions is far easier once it exists, because the differences that decide the outcome are coverage and permission handling rather than the search box itself.
Decide whether you need search results or answers
Some teams want a ranked list with filters and faceted search. Others want a plain-language answer with citations that can feed an assistant or agent. The distinction changes which platform category fits. Growy is stronger in the second model because enterprise search sits inside the Company Brain rather than as a dedicated search console.
Test permission behavior with real user roles
A permission-aware search layer should return different results to different users when the source systems do. Test sensitive HR, finance and customer information with realistic accounts. Growy inherits source permissions, which keeps access tied to existing business applications.
Evaluate relevance and trust separately
Relevance asks whether the right information is retrieved. Trust asks whether the user can verify the source. Look for citations, dates, owners and other provenance signals, then verify whether they are always-on features or configurable behavior. In Growy, those answer metadata fields are configurable at system-prompt level.
Measure behavior after launch
Useful metrics include successful searches, repeated queries, time to answer, zero-result queries, adoption and the share of questions resolved without a person. Growy does not publish search-specific analytics today, so a buyer that needs a formal search analytics suite should include that requirement in the evaluation.
Examples
What connected enterprise search can help a team answer.
These are search patterns, not customer claims. They illustrate the kinds of internal questions that benefit from access to multiple company sources.
“Where is the current refund policy?”
A connected knowledge layer can retrieve the relevant policy from the source the user is allowed to access and return an answer with the source information when configured.
“Which procedure applies to this operational exception?”
The search layer can draw from uploaded SOPs and connected systems so the user does not have to search each repository separately.
“Can this employee see the finance document used in the answer?”
Access follows the permission rules of the source system. If the employee cannot access the source, the assistant or agent should not gain broader access on their behalf.
“Can Growy provide a ranked result page with custom filters?”
Growy positions enterprise search as part of the Company Brain rather than a standalone search interface with dedicated ranking, filters and search administration.
More about enterprise search
Questions to answer before choosing a platform.
The search category includes very different products, so the right questions are about sources, retrieval, access and the experience employees actually need.
What is enterprise search software?
How does enterprise search work?
What are the benefits of enterprise search?
What features should enterprise search software have?
How do you choose the best enterprise search tool?
Does Growy support semantic or hybrid search?
How does Growy handle permissions in enterprise search?
What is the future of enterprise search?
Questions answered? Put it on your own workflow.
Sector proof
Proven at a group of more than thirty companies.
These are the figures measured at a group of more than thirty companies, for their processes and their volumes. Read them as evidence that the workflow runs, not as a number your deployment will reproduce.
“Job details lived in inboxes and chat threads, with no single record behind them. Candidate sources were tagged inconsistently and CVs were screened one at a time against role descriptions that had already drifted, so the result depended on who screened that day. Search across the group's own records had to come first, and the agent was trained only on those internal procedures and past decisions — no external data — which is what keeps the screening defensible under the EU AI Act and the GDPR.”
Enterprise search guide
What to look for in modern enterprise search software
Keyword, semantic and hybrid search solve different retrieval problems
Keyword search is strong when the user knows the exact term, code or title. Semantic search focuses on meaning and can retrieve relevant content even when the wording differs. Hybrid search combines lexical and semantic signals so exact matches and conceptual relevance can both contribute. Once a model interprets the question rather than matching its terms, the category is usually called AI-powered enterprise search, and the thing being evaluated shifts from ranking to whether the answer can be traced back to a source.
Permission-aware search is a security requirement
Enterprise data is rarely visible to everyone. Search results need to respect the access controls applied to HR records, finance documents, customer data and internal operational systems. Growy's confirmed approach is to inherit permissions from the connected source. That keeps the search and agent layer inside the same access boundary already used by the organization. The distinction matters most on an intranet, where one index has historically meant one permission model: an intranet search engine built this way keeps each source's own rules instead of flattening them into a single view.
Enterprise search and knowledge management often overlap
A knowledge management system focuses on capturing, organizing and governing knowledge. Enterprise search focuses on retrieving it across sources. Many companies need both. Growy positions the Company Brain as an activation layer that connects existing knowledge and lets people or agents retrieve it, rather than forcing every source into one standalone knowledge repository or search engine.
Search becomes more valuable when the context can be used
A ranked document list solves discovery. A sourced answer can shorten the next step, and an agent can use the same company context inside a workflow. That is where Growy's approach differs from the dedicated enterprise search tools it tends to be compared with. The Company Brain can support retrieval for people and the AI agents built on top of it, while dedicated search administration remains outside the confirmed product scope.
Get started
Bring one hard-to-find answer. See where Growy gets it from.
Connect the systems that hold the context and test how the Company Brain retrieves information under real user permissions.
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