How Lambda saves 475+ hours by streamlining technical workflows with Perplexity Enterprise
15+
teams using Perplexity Enterprise
2x
faster product documentation and content marketing
475+
hours saved across users
Lambda, founded in 2012 by AI researchers, is building the leading AI compute platform for developers. Its portfolio spans on‑prem GPU hardware to cloud‑hosted GPUs, enabling engineers to build, test, and deploy AI products easily, securely, and affordably. Lambda’s mission is to make access to computation as effortless and ubiquitous as electricity.
The Problem
Leveraging AI to accelerate complex technical workflows
As a GPU cloud that trains LLMs and Generative AI, Lambda sits at the forefront of advances in hardware for machine learning engineers. Kyle Van Dyke, Lambda’s Senior Sales Enablement Manager, says that’s exactly why they’ve tested nearly every available AI tool on the market.
But finding the right platform to streamline their technical research, daily sales workflows, and engineering velocity proved difficult. Multiple teams at Lambda were looking for an AI tool that would go beyond summarizing search results to reveal deeper insights from reputable sources.
Use Case #1: Finding up-to-date, reliable technical information
Sam Khosroshahi, Lambda’s Head of Strategic Sales, had tried using other AI tools to fast-track customer proposals. While researching AI and ML use cases for potential customers, he ran into a recurring problem: the information that other models provided wasn’t up-to-date or grounded in verified sources, so he didn’t know if it was factual — rendering it less than ideal for his workflow.
Lambda's leadership knew there were numerous opportunities like these to streamline work across more than 15 teams, spanning sales, content, engineering, HR, and more. So, by the time Kyle discovered Perplexity Enterprise, The decision to work with them was a no-brainer, he explains. “Perplexity gives us a broad array of cited resources summarized in a clean package.”
Use Case #2: Generating outlines for complex documentation
Brady Smith, a Technical Writer at Lambda, uses Bash scripting and raw terminal inputs and outputs to inform his content. But coding isn’t his core competency, so he’d rather feed the Bash terminal information into an AI to gain context without risking messing with the wrong system.
From there, building technical outlines could drag on for hours because he often had to wait for other parties to supply him with niche information. That’s why he was looking for a way to self-serve and conduct in-depth searches that yield cited, accurate information within seconds.
The Solution
Faster execution across 15+ teams with embedded AI support
Perplexity Enterprise’s search capabilities exceeded Lambda’s expectations from day one. Because results always include accurate and verified citations, Lambda’s teams and sub-teams can efficiently conduct deep research and knowledge work with a number of tangible benefits.
Benefit #1: Fast, reliable results — with accurate citations
For Lambda’s documentation and in-depth content, Brady finds that Perplexity Enterprise is the ideal partner for rapidly building outlines. He uses the AI to synthesize long scientific reports into easily digestible results, calling it a “force multiplier for his job.” And when he’s conducting research, Perplexity produces the exact documentation he needs – complete with citations.
Benefit #2: Concise summaries of complex technical reports
Senior Solution Engineer Jordan Gibbens uses Perplexity Enterprise to find and summarize highly technical articles related to his coding projects. The AI also helps him identify specific details in large PDF files, like the hundreds of pages of NVIDIA’s Bright Cluster documentation.
He finds that Perplexity’s results are uniquely concise, especially compared to other AI tools on the market, when diving into the nitty gritty details of any engineering task he’s working through.
Benefit #3: Streamlined eng workflows for seamless context-switching
Eve Callicoat, one of Lambda’s Staff Software Engineers, not only accelerates her work output with Perplexity – she also designed a custom programming language within Enterprise.
For example, when she enters a query about a specific GitHub repository, Perplexity analyzes it and constructs a comprehensive answer — even from content it’s never seen before. The Pro search can even deconstruct paragraph-long questions about parser grammar and source code files into organized points, making it seamless for Eve to switch between tasks and platforms.
Benefit #4: Personalized sales outreach without the manual work
After onboarding with Perplexity, Sam’s sales team at Lambda found the all-in-one resource they needed for researching and activating potential leads. Sam can now easily find contemporary, citable information as he designs customer outreach campaigns. Rather than manually sifting through hundreds of links across Google, Sam gets a “broad array of resources summarized nicely on a platter.” And he can rest assured that information is unbiased because Perplexity’s results don’t include any ads or blatant marketing materials that are clearly SEO derivatives.
Diving deeper, Perplexity smoothes out the sales cycle further by quickly sourcing contact info, a normally arduous task for sales reps. It then personalizes outreach by combing through leads’ LinkedIn posts to better understand their evolving interests. This supercharges Lambda’s sales enablement by asking Perplexity what a new development could mean for their customers.
Benefit #5: Onboarding for non-technical workers
On a final note, Kyle adds that Perplexity has become critical in streamlining the company’s onboarding process for new team members. For example, when a non-technical employee needs to learn about Eve’s engineering work, they can simply leverage Perplexity to create a comprehensive summary. Eve can upload relevant internal documents to cross-reference with non-technical external sources without worrying that Lambda’s data will be used to train the AI.
This gives the new hire easy-to-understand direction so they can ramp up faster — without conducting additional research, encroaching on Eve’s time, or putting company data at risk.
The Result
Supercharged workflows, deep research, and faster task completion
Perplexity Enterprise saves 457 hours across more than 15 Lambda teams. For example, in just 30 seconds, Perplexity gives Brady 20 different sources for his technical writing. Now, he turns around work 2x faster with accurate architecture documentation — requiring less effort from external partners who previously helped source this information.
Similarly, when it comes to sales enablement, Lambda Sales Rep Noah Spear points out that Perplexity has dramatically scaled pipeline outreach while making it more personal in tandem. The results? More leads respond to their calls and emails, which accelerates their sales funnel.
Kyle says the overall time savings with Perplexity Enterprise has been a game-changer for the entire Lambda team. Whether planning meetings or documenting resources, he personally saves an average of one hour on each of his day-to-day tasks. For instance, Perplexity formats his enablement resources for him in seconds while highlighting actionable data and next steps.
“I'm just accomplishing so much more,” Kyle says. “Especially in a remote world where you're able to lock in and jump from meeting to meeting, Perplexity expedites almost everything.”
