The Perplexity Sonar API agency.Answers your team can trust.
The Perplexity Sonar API turns a question into a grounded answer (a reply backed by real, cited sources), with live web search built in. We wire it into your product or internal tools, add a RAG layer (the model answers from your own documents, not just what it was trained on), and roll out Enterprise Pro connectors so an answer cites your files instead of guessing. Built for US teams, remote across time zones, since 2024.
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GeminiThe Perplexity Sonar API is where the leverage is, not the seat count.
Anyone can buy Enterprise Pro. Building a grounded answer engine on the Sonar API, wiring RAG over your data, and keeping citations honest is a different job. Here are the four things we own.
- Enterprise Pro
Perplexity Enterprise Pro, rolled out so people use it
Buying seats is not adoption. We deploy Perplexity Enterprise Pro across your teams, connect the internal knowledge connectors so it searches your own files and tools next to the live web, set up a Space for each team or project, and lock down access and data controls with your IT. People open it and it already answers from your sources, with a link back to the doc it used, instead of sitting there as one more tab nobody clicks.
See a typical rollout - Sonar API
A cited answer engine built on the Sonar API
The real leverage is an answer engine that lives inside your own product or internal tools. We build on the Sonar and Sonar Pro API: a question triggers a live web search, the model writes back a grounded answer, and every reply carries the sources it leaned on. We add search over your own docs and data, so support, sales and ops get an answer they can check in one click, not a confident guess. Retrieval and prompts are tuned to your domain, not left on defaults.
See the method - RAG and grounding
Grounded on your data, hallucination kept in check
An answer engine is only as good as what it pulls and how honestly it cites. We build the RAG pipeline around Sonar (RAG means the model answers using your own documents, not just what it was trained on): we index your data, set an allowlist of sources it is allowed to read, and run an eval that scores each answer for grounding and flags a likely hallucination before a user ever sees it. Every answer ships with its citations, so a person can open the source and check it in seconds.
See what a build covers - Enablement and ops
Faster answers for your team, without blind trust
A cited answer only helps if people actually read the citation. We train your team on how to prompt Perplexity, when to trust a synthesized answer and when to open the source, and where it is simply the wrong tool. We are an automation and AI agency first, so this plugs into how your team already works, next to the rest of your AI stack.
See AI enablement
We build the Sonar API as grounded infrastructure, not a search toy.
A raw Sonar API call gives you a grounded answer with citations. That is the easy part. The hard part is the RAG layer over your data, the model routing between Sonar and Sonar Pro, the domain allowlists, and the eval that catches a hallucination before a user sees it. So we treat it like infrastructure: retrieval you control, citations on every answer, reliability you can measure.
- Audit: we map your sources, your teams, and where a wrong or missing answer quietly costs you time.
- Deploy: Enterprise Pro, the connectors, the Spaces and the access controls, all set up with your IT.
- Build: a grounded answer engine on the Sonar API, with a RAG pipeline you control over your own data.
- Enable: we train your team to read the citations and to spot where an answer engine does not belong.
We run on answer engines every day.
We don't sell a partner tier. We use Perplexity and the Sonar API to do real research and ship real products, so we deploy it the way it actually works: connectors to your sources, Spaces scoped per team, citations on every answer, and an eval that catches hallucination. That's exactly what's missing when a rollout ends at handing out seats.
- We run on Perplexity and the Sonar API every day, so we deploy it the way it actually behaves, not the way a slick demo makes it look.
- More than 40 companies since 2024, clients worldwide, and 150+ automations shipped. We have wired a lot of answers into a lot of stacks.
- Grounding comes first: source controls, a citation on every answer, and an eval that catches a likely hallucination before it reaches a user.
- You leave autonomous. The Spaces, connectors and pipeline live in your own stack, so your team runs it without us. No partner badge to sell.
What you can actually build on the Sonar API, in plain words.
Forget the spec sheet for a second. Here is what a Perplexity Sonar API build looks like once it is running, six things teams ask us for, each one a grounded, cited answer sitting where the work already happens. The technical detail is in the small print under each.
- Setup
A support assistant that cites your help center
A customer or an agent asks a question, and the assistant answers from your help center and past tickets, with a link to the exact article. Under the hood it is a Sonar call with retrieval over your support content, so the reply is grounded, not improvised.
- Setup
An internal Q&A over your own docs
Your team asks in plain language and gets a sourced answer pulled from your wiki, drive and specs, instead of pinging three people on Slack. This is RAG over your private data (the model reads your files first) with a citation on every line.
- Setup
Prospect and market research for sales
Before a call, your rep gets a fresh brief on a company, pulled from the live web with sources attached. Sonar does the real-time search and synthesis, so the research that used to eat an afternoon lands in a minute, ready to double-check.
- Setup
Doc and spec search for engineers
An engineer asks how an internal service or an external API works and gets an answer with the exact page it came from. It routes simple lookups to Sonar and harder, multi-step questions to Sonar Pro, so the answer matches the difficulty of the question.
- Setup
A watch on a topic or a competitor
You pick a subject, a market or a competitor, and get a recurring, sourced digest instead of doom-scrolling feeds. Sonar handles the fresh web search each time, and the summary always points back to where it read the news.
- Setup
A cited answer box inside your product
Your own users ask a question in your app and get a grounded answer with sources, powered by the Sonar API behind your interface. You control the look, the allowed sources and the tone, and the citations keep it honest for the people relying on it.
We map where answers cost you time, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your sources, your teams and where people lose time hunting for answers. You leave with an honest read on what Perplexity fixes, whether you need Enterprise Pro, the Sonar API or both, and what to wire first. Zero pitch, just an engineer's take on your workflow.
- An honest read on where Perplexity helps your teams
- Enterprise Pro, the Sonar API, or both, scoped to your need
- The connectors, Spaces and RAG worth building first
- A ballpark on cost (from $2,000) and a realistic timeline
- A frank take on what an answer engine won't fix
How we run a Perplexity rollout.
Five steps, in order. We don't let people trust answers before grounding and citations are wired, we don't ship an answer engine without an eval for hallucination, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Answer audit
Map where wrong or missing answers cost you time
We sit down with your teams and look at where people lose time hunting for answers: scattered docs, slow internal search, support and sales digging through wikis. We check your sources and your stack. Half the value is telling you where Perplexity helps and, just as often, where it will not, so you do not point an answer engine at a problem it cannot fix. You leave with a short plan and a ballpark, from $2,000 depending on scope, and a precise quote follows.
- Step 2 · Deploy Enterprise Pro
Roll out Enterprise Pro so it answers from your sources
We deploy Perplexity Enterprise Pro across your teams, connect the internal knowledge connectors so it searches your files and tools next to the live web, set up a Space per team, and configure SSO, access and data controls with your IT. Someone on your side signs off on the security and data setup before anyone starts using it in anger.
- Step 3 · Build on Sonar
Put a cited answer engine inside your own tools
We build on the Sonar and Sonar Pro API to drop grounded, cited answers where the work actually happens: a support assistant, an internal Q&A over your docs, prospect research for sales. We add the RAG pipeline, control the sources it reads, and route each question to the right model. Every answer ships with its citations, so a person can open the source instead of trusting a black box.
- Step 4 · Ground and eval
Keep it grounded and measure hallucination
Real-time search and citations are what make an answer engine worth trusting, so we wire them properly. We index your data, set allowlists and filters so Sonar only reads sources you trust, and run an eval that scores each answer for grounding and flags a likely hallucination before it reaches a user. You get a measured read on reliability, not a hunch that the demo was representative.
- Step 5 · Enable and hand over
Train the team, then get out of the way
We train your team on how to prompt Perplexity, when to trust a synthesized answer and when to open the citation, and where it is the wrong call. The Spaces, connectors and pipeline live in your own stack, so a new hire inherits a working setup rather than a black box. Maintenance, monitoring and a deeper AI training across your stack are all on the table. If you want us on call for what scales next, we sort that out separately.
We're judged on the answers people trust.
No partner badge to display, so we lead with what matters: feedback from the teams whose Perplexity rollout we ran, and whether they kept getting faster, sourced answers after we left. More than 40 companies since 2024, clients worldwide, 150+ automations shipped alongside the answer work. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The Spaces, connectors and pipeline live in your stack, owned by your team
- Grounding and citations wired before anyone trusts an answer
- Answers scored for hallucination, kept human-checkable
- Trustpilot reviews come from the teams we rolled it out for
The questions we get asked on repeat.
Is the Perplexity Sonar API good for RAG?
Yes, and it is often the fastest way to a grounded answer (a reply backed by real, cited sources). The Sonar API already does live web search and returns citations, so you skip building a public-web index yourself. For your private data, we add a RAG layer on top: we index your docs, set an allowlist of sources the model is allowed to read, and feed that retrieved context into the Sonar call. The result is an answer grounded in both the live web and your own files, with citations a person can check. Where a classic RAG stack fits better, we will tell you.What can you build with the Perplexity Sonar API?
In plain words, an answer engine that lives where your work happens. The three we get asked for most: a support assistant that answers from your help center and links the article, an internal Q&A that pulls a sourced answer from your wiki and drive, and sales research that gathers a fresh, cited brief on a company before a call. A question triggers a live web search, the model writes the answer, and every reply carries its sources. We add the RAG layer over your data, route between Sonar and Sonar Pro, and set the allowed sources per use case.What are the Sonar models in 2026 and which one should we use?
In 2026 the two you will reach for most are Sonar for fast, cheap grounded lookups and Sonar Pro for harder, multi-step questions that need deeper search and reasoning, plus reasoning and deep-research variants for longer analytical work. Which one fits is a routing decision, not a single pick: we send simple factual queries to Sonar and escalate the hard ones to Sonar Pro, so you do not overpay on easy questions or come up short on the complex ones. We tune that routing against your real traffic while we build.How do internal knowledge connectors work in Enterprise Pro?
In Perplexity Enterprise Pro, internal knowledge connectors let it search your own files and tools next to the live web, so an answer can cite an internal doc instead of only a public page. We connect them to your sources, set up a Space per team or project so each group's answers stay scoped to the right sources, and configure SSO, access and data controls with your IT. Someone on your side signs off on the security setup before rollout. That connector layer is what turns Enterprise Pro from a generic search box into a real internal answer engine.How do we get started with the Sonar API, and do we need your help?
The Sonar API is well documented and you can hit it with a single call, so a small proof of concept is genuinely a day's work. Where teams get stuck is production: the RAG layer over private data, model routing, source controls, and an eval that measures whether answers stay grounded. That is where a build partner earns its keep. We start with a free 60-minute audit to see whether you need help at all, then quote a fixed scope from $2,000 for the parts worth doing right. If it is a weekend project, we will say so.How do you keep Sonar from hallucinating?
You do not get to zero, and we will not pretend otherwise, but grounding and an eval get you a long way. We control the sources Sonar is allowed to read with allowlists and filters, build the RAG pipeline so answers sit on your real docs, and run an eval that scores each answer for grounding and citation accuracy before it reaches a user. Every answer ships with its citations, so a person can open the source in one click instead of taking the model's word for it.What is the difference between Enterprise Pro and the Sonar API?
Enterprise Pro is Perplexity's product your teams use directly: the app, Spaces, internal connectors, security and admin controls. The Sonar API is for building those grounded, cited answers into your own product or internal tools, with your own retrieval, model routing and interface. Most companies end up wanting both: Enterprise Pro for the people who research and ask questions all day, and the Sonar API for the answer engine you embed in a workflow. We deploy the first, build the second, and tell you which one fits which need.When is the Sonar API NOT the right fit?
When you need a model that never leaves your own network, Sonar is a cloud API, so that is a straight no and we will say it. When you need deterministic, structured output (the exact same fields every time for a downstream system), a synthesized answer engine is the wrong tool; you want a constrained model or a classic pipeline. And when the real problem is messy or missing source data, no answer engine fixes that, you fix the sources first. We would rather point you to another tool, or none, than sell you a build you do not need.Do you work with US teams, and fully remote?
Yes. We are an AI and automation agency working with US teams and fully remote across time zones, so the audit and the build run over calls and shared repos, not on-site visits. The Sonar API integration, the RAG pipeline and the Enterprise Pro connectors all live in your own stack, and your team owns them after handover. Training and monitoring are included so a new hire inherits a working setup, not a black box. If you want us on call for what scales next, we sort that out separately.
Stop buying seats. Roll it out right.
A free 60-minute audit, the places answers quietly cost you time mapped out, and a rollout plan with Enterprise Pro, the Sonar API or both, grounding baked in. Projects start from $2,000 with a precise quote after the audit. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.