One platform for grounded AI,
built for Support
Your team asks the questions and makes the calls. Ragenta does the reading, the retrieval and the drafting.
Last 24 hours
Resolved in-channel
68%
Median first reply
22s
Escalated
32%
Refund window on annual plans
cited MSA §7.2
SSO setup for Okta
cited help centre #142
Invoice in a different currency
cited billing FAQ
Custom data-residency request
no approved source
Bug — export stalls at 90%
routed to engineering
Escalations arrive with a summary and the sources already checked
Enterprise search
One search box across every system, answering in sentences instead of link lists.
Challenge
Knowledge is spread across a wiki, a drive, a ticket system and three chat workspaces. People give up before they find it.
Ragenta
Ragenta indexes all of them into one permission-aware knowledge base and answers the question directly, with the passage it used attached.
Hybrid retrieval · 4 sources · 18,402 chunks
Research assistant
Broad questions answered across many sources, with the evidence laid out.
Challenge
Answering "what do we know about X" means reading twenty documents and hoping nothing was missed.
Ragenta
An agent fans out across sources, covers each facet of the question, and shows which source supports which part of the answer.
Facet coverage by source
● synthesisingSupport deflection
Resolve repeat questions in-channel, escalate the rest with context attached.
Challenge
Most tickets are answered by an article that already exists — but customers do not find it and agents retype it.
Ragenta
A grounded agent answers from your help centre and policies, cites the article, and escalates with a summary when confidence is low.
Last 24 hours
Resolved in-channel
68%
Median first reply
22s
Escalated
32%
Refund window on annual plans
cited MSA §7.2
SSO setup for Okta
cited help centre #142
Invoice in a different currency
cited billing FAQ
Custom data-residency request
no approved source
Bug — export stalls at 90%
routed to engineering
Escalations arrive with a summary and the sources already checked
RFPs & security questionnaires
Reuse every answer your team has already approved.
Challenge
Each questionnaire repeats questions answered five times before, and the approved wording lives in someone's inbox.
Ragenta
Ragenta matches each question to a previously approved answer with its source, and drafts only the genuine gaps for review.
118 questions · 9 sections
● drafting gapsAccess control
22 answered from approved sources
Data protection
31 answered from approved sources
Incident response
18 answered from approved sources
Subprocessors
6 matched · drafting the rest
Needs an owner
| Q-084 | Data residency in Vietnam | Legal |
| Q-091 | Sub-processor list for APAC | Security |
| Q-107 | Retention beyond contract term | Legal |
IT & HR helpdesk
Policy answers in Slack, without exposing what the asker cannot see.
Challenge
HR and IT answer the same policy questions constantly, and the source of truth changes without anyone noticing.
Ragenta
Retrieval inherits each source's permissions, so an answer is assembled only from documents that person could already open.
Confidence below 0.7 routes the question to a human.
Analytics agent
Ask a metric question in words, get the query, the numbers and the caveats.
Challenge
Every ad-hoc metric question becomes a ticket for the data team, and the backlog decides what gets answered.
Ragenta
The agent writes read-only SQL against approved tables, runs it, and explains the result alongside the query it used.
Read-only SQL · approved tables
generated queryselect region, sum(mrr) as mrr
from subscriptions
where quarter >= '2025-Q4'
group by 1 order by 2 desc
MRR by quarter · APAC
Query, result and caveats returned together
Contract review
Every clause compared against your playbook, deviations ranked by risk.
Challenge
First-pass review is slow, repetitive, and the thing that gets skipped when a deal is urgent.
Ragenta
Ragenta parses the agreement into clauses, compares each against your standard position, and ranks deviations by exposure.
64 clauses · compared to playbook
Compliance reporting
Evidence packages assembled from the systems of record.
Challenge
Audit season means chasing screenshots and policy versions across half a dozen tools.
Ragenta
An agent gathers the evidence, maps it to each control, and produces the package with a link to every underlying document.
Evidence package · 42 controls
31 / 42 assembledControls covered
74%
Evidence gaps
6
Stale evidence
5
Access review export
CSVChange management log
CSVPolicy version history
PDFVendor risk assessments
XLSXIncident post-mortems
PDFControl narrative
DOCXHybrid retrieval · 4 sources · 18,402 chunks
From the teams running it every day
“We had three separate search tools and none of them could answer a question. Ragenta replaced all three in a month, and the citations are the reason people actually trust it.”
Head of Operations
Logistics, 900 staff
“Support deflection went from a slide in a strategy deck to a number on a dashboard. The retrieval trace is what let us debug it ourselves instead of filing tickets.”
Customer Support Lead
B2B SaaS
“Permission-aware retrieval was the whole deal for us. Legal would not sign off on anything that indexed HR files into one bucket.”
IT Director
Financial services
“Our documentation is half Vietnamese, half English. One index handles both and an English question still finds the Vietnamese paragraph.”
Engineering Manager
Fintech, Ho Chi Minh City
“The agent does not just retrieve — it decides what to look up next. Watching it re-query after a weak first result was the moment this clicked for the team.”
Head of Data
Healthcare group
“We swapped the underlying model twice in a quarter without touching a single prompt. That flexibility is worth more than any single model benchmark.”
Principal Engineer
Enterprise software
From the blog
Read the blog →Chunking decides your RAG quality more than your model does
Teams reach for a bigger model when answers go wrong. Nine times out of ten the retrieval never surfaced the right passage in the first place.
An answer without a citation is a guess with good grammar
Citations are not a nice-to-have on top of a RAG product. They are the only mechanism a reader has to decide whether to trust what they just read.
When an agent beats a workflow — and when it does not
Agents are the right answer when the steps depend on what the previous step found. For everything else, a fixed pipeline is cheaper, faster and easier to debug.
“Your organisation already knows the answer. Ragenta makes it findable.”