Store customer conversations
Bring support tickets, feedback, research notes, and other text into a searchable database. Keep the original words and useful context together so your team can return to the source.
Store everything your customers say. Give your AI tools the evidence to answer the questions that matter.
DRAFT • Filler content for layout review. Sample copy and bracketed placeholders need verification before publication.
From conversations to evidence
A home for customer text, a way to find what matters, and a connection to the tools your team already uses.
A focused approach
Sample differentiators. Replace bracketed comparisons with verified names, measurements, terms, and source links.
Wiplo gives agents source records they can inspect and cite. Add a verified comparison with [Competitor A] explaining how access to the original evidence differs.
Wiplo connects through MCP so customer evidence can be available inside an agent's workflow. Compare supported workflows with [Competitor B] and add a concrete setup-time example: [X minutes versus Y minutes].
Use search to find relevant examples and aggregation to answer quantitative questions. Add a verified example showing how this differs from [Competitor C]'s approach to reporting.
Attach metadata that makes records useful to your team, such as source or customer segment. Add a measurable example of the time saved compared with [Competitor D] or a manual workflow.
Describe the verified pricing model, included usage, and contract terms here. Compare [Wiplo's verified terms] with [Competitor E's verified terms], including the date and source of the comparison.
Built around your questions
Illustrative audience segments to refine against the customers you actually serve.
B2B SaaS product teams at companies with 50–200 employees
Teams bringing support conversations and product feedback together to inform what they build next.
Developers building AI workflows around customer text
Engineers who need a searchable evidence layer without building the entire ingestion and retrieval stack themselves.
Customer experience teams working across several feedback channels
Teams looking for recurring questions and friction points while keeping a path back to each conversation.
People behind the product
Located around the United States, working remotely.
Sample origin story: Wiplo began with a simple frustration—useful customer context was scattered across too many tools. We wanted to make it easier for a team to ask a question and get back to the original evidence.
Sample team composition: We're a small group of builders working across product, engineering, and customer experience. Replace this paragraph with the real founding story, team structure, and customer-facing contacts.

Janitor
Getting started
An example onboarding flow and operating model. Confirm each step and replace the service expectations before publishing.
Start with a real question your team keeps asking about customers. Choose the sources and context you will need to investigate it.
Set up a database and send a first batch of customer text through the API. Include metadata that will help your team narrow down future questions.
Connect your chosen agent to Wiplo through MCP. Ask a focused question, inspect the evidence, and refine the workflow around what your team learns.
[Add supported channels, such as email or a shared support channel.] Explain where customers should go for help and product updates.
[Add a verified response target and support hours, including time zone.] Distinguish a typical response from a contractual commitment.
[Add the real customer-facing role or team.] Explain when a customer will work directly with engineering or receive onboarding assistance.
[Add a typical setup time and the factors that affect it.] Describe any assisted onboarding milestones or service-delivery timelines.
At a glance
A structured starting point. Replace every bracketed value with a verified fact, or remove rows that do not apply.
Wiplo
Developer infrastructure for searchable customer text
[Add founding year]
[Add confirmed founder name or names]
[Add headquarters location, or describe the remote operating model]
https://www.wiplo.com
Store, search, retrieve, count, and compare text records through an API and MCP.
[Add current pricing, included usage, and a link to the pricing page]
[Add verified billing cadence, minimum commitment, and cancellation terms]
[Confirm the core product capabilities and any onboarding or support services]
[Add supported communication channels and support hours]
[Add approved customer names, or remove this row]
[Add verified customer count and an as-of date, or remove this row]
[Add a relevant verified delivery metric, or remove this row]
[Add the named alternatives customers actually compare, with supporting links]
[Add official company social profile links]
A few useful answers
Sample answers to review before publication.
Wiplo is developer infrastructure for searchable text records. It gives connected agents access to customer evidence through an API and MCP.
Start with text your customers share, such as support conversations, feedback, or research notes. Add metadata that helps your team understand the source and context of each record.
Wiplo retrieves evidence and makes it available to the connected agent. The agent produces the answer using the records it receives.
This draft focuses on product teams and developers bringing customer text into AI-assisted workflows. Replace this answer with the audience segments validated by your customers.
[Add a verified onboarding estimate and its assumptions.] Explain what the customer needs to prepare and whether hands-on help is available.
[Add the current pricing model and a link to the pricing page.] Include the key usage limits and any minimum commitment customers need to understand.
[Add the supported contact channel and response expectations.] Link to a real contact destination before publishing.