Perplexity just entered the enterprise AI cage match. On March 31, the search-focused AI company launched Teams Workspace — a collaboration platform priced at $50 per user per month that’s clearly gunning for ChatGPT’s enterprise customer base. Law firms and financial services companies are already piloting the new offering, which bundles shared research projects, real-time collaboration, and the compliance certifications that regulated industries actually care about.
The timing isn’t subtle. As OpenAI, Anthropic, and Google all scramble to lock down enterprise deals, Perplexity is betting that its research-first approach — combined with the admin controls and audit trails that Fortune 500 legal departments demand — can carve out a distinct niche. The question is whether $50 per seat is enough differentiation when every AI vendor is suddenly claiming to be enterprise-ready.
Teams Workspace centers on collaborative research rather than general-purpose chat. Multiple users can work simultaneously on shared research projects, with each query and result visible to the entire team. Think Google Docs meets Perplexity’s citation-backed search — everyone sees the same sources, the same context, the same reasoning chain.
The platform includes granular admin controls for IT departments: user provisioning, access management, usage analytics, and the ability to set organization-wide search parameters. For compliance officers, Perplexity is touting SOC 2 Type II certification, which means third-party auditors have verified the company’s security controls for data confidentiality and availability.
Perplexity isn’t disclosing exact pilot customer names yet, but confirmed that law firms and financial services firms are testing the platform. That focus makes sense — both industries spend enormous amounts on legal research, market analysis, and due diligence, and both face strict regulatory requirements around data handling and audit trails.
The elephant in the room is OpenAI’s ChatGPT Enterprise, which launched in 2023 and has been steadily adding collaboration features. ChatGPT Enterprise doesn’t publish standard pricing (it’s custom-quoted), but industry estimates place it in a similar $50-70 per user range for mid-sized deployments.
Perplexity’s angle is differentiation through citations. While ChatGPT can generate polished text and code, it doesn’t inherently link to sources or show its research trail. Perplexity’s entire product is built around transparent sourcing — every answer includes clickable citations to the underlying documents. For industries where “because the AI said so” isn’t an acceptable answer in court or a regulatory filing, that’s a meaningful difference.
Google’s Gemini for Business and Anthropic’s Claude for Work are also in the mix, though both are still ramping up enterprise sales infrastructure. The enterprise AI market is rapidly becoming crowded, and vendors are racing to add the table-stakes features — SSO, data residency controls, dedicated support — that procurement departments check off on vendor questionnaires.
SOC 2 certification might sound like boring acronym soup, but it’s critical for enterprise sales. Without it, most Fortune 500 companies won’t even start a pilot. SOC 2 Type II specifically means Perplexity has implemented controls around security, availability, processing integrity, confidentiality, and privacy — and that an independent auditor has verified those controls are working over time, not just on paper.
Financial services firms, in particular, need vendors who can demonstrate compliance with data protection regulations. A bank using Perplexity for market research needs assurance that proprietary queries aren’t leaking to competitors, that data isn’t being used to train public models, and that access logs exist for audit purposes. Teams Workspace is designed to check those boxes.
At $50 per user per month, Perplexity is positioning Teams Workspace as a premium tool, not a replacement for every employee’s web browser. That’s roughly in line with enterprise collaboration platforms like Notion, Slack, and Microsoft 365 premium tiers — tools that companies budget for knowledge workers, not frontline staff.
The bet is that research-intensive teams — legal research groups, investment analysts, strategy consultants, academic researchers — will see enough productivity gains to justify the cost. If a junior associate can complete a research memo in two hours instead of six, $50 per month pays for itself quickly. If it’s just a fancier search engine, that ROI calculation falls apart.
Perplexity Pro, the individual subscription, costs $20 per month. The $30 premium for Teams reflects the added infrastructure: shared workspaces, admin dashboards, compliance certifications, and dedicated support. Whether that pricing holds as competition intensifies remains to be seen — enterprise software pricing has a way of compressing once the land-grab phase ends.
Perplexity’s move underscores how quickly the enterprise AI market is maturing. Two years ago, “enterprise AI” mostly meant custom implementations by big consulting firms. Now, multiple vendors are offering ready-to-deploy platforms with standardized pricing and compliance frameworks. That’s progress, but it also means differentiation is getting harder.
For companies evaluating AI tools, Teams Workspace adds another credible option — particularly if transparent sourcing and research workflows matter more than creative writing or code generation. For Perplexity, the challenge is proving that its research-first approach is valuable enough to win budget that could otherwise go to ChatGPT, Gemini, or simply hiring more analysts. March 31 was the launch date. The real test happens when pilot customers decide whether to cut a check for full deployment.
