AI & DataPerplexity AI
An AI-powered research assistant that answers questions with sourced, up-to-date information.
Perplexity AI is an AI-powered search and research platform that combines large language model reasoning with real-time web retrieval to deliver cited, up-to-date answers to complex questions. It is used by engineers, product managers, analysts, and executives at companies of all sizes who need faster access to accurate information without wading through pages of search results. For software teams, the key advantage over traditional search is that Perplexity synthesizes information from multiple sources and shows its citations inline, which dramatically reduces the time spent on competitive research, technical documentation lookups, and market sizing. The Enterprise Pro plan adds private workspaces, SSO, data privacy controls, and the ability to connect internal files and databases as knowledge sources alongside the web. Teams can also create custom AI assistants scoped to specific domains, making it useful as a lightweight internal knowledge base on top of existing documentation.
Knowledge workers at software companies including engineers, product managers, analysts, and executives who spend meaningful time on research, technical lookups, and staying current on their market. The right time to adopt the Enterprise plan is when multiple team members are individually paying for AI tools or when the team needs privacy controls and centralized administration for AI usage across the organization.
3 months free on the Enterprise Pro plan (up to 50 seats)
Subject to partner eligibility criteria. Savings estimates reflect maximum potential value.
Perplexity AIin depth.
Real-Time Web-Grounded Answers
Unlike static LLMs, Perplexity retrieves current information from the web before generating its answer, so responses reflect recent events, updated documentation, and current pricing rather than a frozen training cutoff. This is critical for competitive research and technical queries where things change frequently.
Inline Source Citations
Every answer links directly to the sources used to generate it, allowing users to verify claims and drill into primary sources in one click. This makes Perplexity significantly more trustworthy than uncited AI outputs for anything that will inform a business decision.
Spaces and Custom AI Assistants
Enterprise users can create private Spaces that combine web search with uploaded internal documents, turning Perplexity into a domain-specific research assistant that knows both public information and internal context. Teams use this for onboarding wikis, product documentation, and competitive intelligence repositories.
Enterprise Privacy Controls
The Enterprise Pro plan guarantees that employee queries and uploaded files are not used to train models and supports SSO for centralized access control. This is a prerequisite for teams working in regulated industries or handling sensitive client data.
Multi-Model Access
Enterprise Pro includes access to multiple underlying models (including Perplexity's own models alongside third-party frontier models) so teams can choose the right capability level for different tasks without managing separate subscriptions. This consolidates AI spending into one vendor.
Perplexity integrates with enterprise identity providers via SSO (SAML/OIDC) and supports file uploads from Google Drive and other sources as knowledge inputs to Spaces. In a typical software team's stack it functions as the research layer alongside a writing assistant like Claude or ChatGPT and a code assistant like GitHub Copilot, each covering distinct parts of the knowledge workflow.
Commonuse cases.
Conducting rapid competitive research before a product or sales meeting
A product manager can ask Perplexity to summarize a competitor's recent product updates, pricing changes, and press coverage and get a cited synthesis in seconds rather than spending 30 minutes clicking through links. The citations let them verify anything that will go into a presentation or proposal.
Answering technical questions that require current documentation
Engineers use Perplexity for library version compatibility questions, API behavior lookups, and infrastructure configuration questions where the official docs may have changed since any LLM's training cutoff. Because it retrieves from the live web, it can find the current official answer rather than a cached or outdated one.
Building an internal knowledge assistant on top of company documentation
With Spaces, a team can upload their runbooks, onboarding docs, and architecture decision records and let new hires or cross-functional teammates query them in natural language alongside public web context. This reduces the volume of repetitive questions that reach senior engineers or the operations team.
Three stepsto activate.
Check eligibility
Each partner maintains independent qualification criteria. We assess your profile and determine which offers you qualify for.
Schedule a briefing
Book a call with our partnerships team to discuss your stack requirements and walk through the activation process.
Activate credits
Once approved by the partner, credits are deployed to your account. Timelines vary by partner.
BearPlex maintains partnerships with leading technology providers to facilitate access to exclusive programs for our clients. All offers are subject to each partner's independent eligibility requirements, approval processes, and terms of service. Savings figures represent maximum potential value and may vary based on qualification, usage, and partner-specific criteria. BearPlex acts as a facilitation partner and does not guarantee approval or specific credit amounts. Offer availability and terms may change at the partner's discretion.
