How Lambda saves 475+ hours by streamlining technical workflows with Perplexity Enterprise Pro
How Lambda saves 475+ hours by streamlining technical workflows with Perplexity Enterprise Pro
15+ teams
15+ teams
teams using Perplexity Enterprise Pro
teams using Perplexity Enterprise Pro
2x faster
product documentation and content marketing
product documentation and content marketing
475+ hours
hours saved
across users
hours saved
across users
How Lambda streamlined technical workflows across 15+ teams with Perplexity Enterprise Pro
15+ teams
teams using Perplexity Enterprise Pro
2x faster
product documentation and content marketing
475+ hours
hours saved
across users
CUSTOMER TESTIMONIAL
“Using Perplexity kicks off a cycle of compounding time savings. Tasks that would usually take me up to an hour to complete now take minutes. I use Perplexity multiple times a day, and by the end of each week, my productivity is exponentially higher.”
“Using Perplexity kicks off a cycle of compounding time savings. Tasks that would usually take me up to an hour to complete now take minutes. I use Perplexity multiple times a day, and by the end of each week, my productivity is exponentially higher.”
“Using Perplexity kicks off a cycle of compounding time savings. Tasks that would usually take me up to an hour to complete now take minutes. I use Perplexity multiple times a day, and by the end of each week, my productivity is exponentially higher.”
Kyle Van Dyke, Senior Sales Enablement Manager, Lambda
Kyle Van Dyke, Senior Sales Enablement Manager, Lambda
Kyle Van Dyke, Senior Sales Enablement Manager, Lambda
The Problem
The Problem
Leveraging AI to accelerate complex technical workflows
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 Pro, 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 Cleveland Cavaliers were ready to use AI to bring the future of work to their organization, allowing Team Members to take the initiative to find answers to critical questions faster.
“We knew automation wouldn’t solve every use case,” says Ben Levicki, the Cavaliers’ AI Solutions Architect, “But we also knew that AI could increase efficiency and productivity, boost skill enhancement with instant insights and empower employee growth.”
The Cavs’ previous internal solution, an AI chatbot, was secure and private but required ongoing development efforts that slowed implementation. As a one-person AI team, Ben hoped to eliminate this patched-together solution and advance to a comprehensive AI search engine witha “succinct UI that pulls in documents, images and video assets.” His list of must-haves included:
Flexibility: The Cavs needed a solution that aligned with its wide-ranging use cases — everything from researching partnerships to closing knowledge gaps for its data team.
Security: With zero-party data as one of their competitive advantages, the Cavs required a tool that didn’t train its AI models on their proprietary internal data sets.
Accuracy: Reliability was also a concern. Most tools are prone to hallucinations (i.e., incorrect or misleading results). To get buy-in from the entire team, Ben needed a model that was known for generating accurate and verified information sources.
In other words, Ben wanted a solution that could leverage AI’s full capabilities and boost the organization’s productivity.
The Solution
The Solution
Faster execution across 15+ teams with embedded AI support
Faster execution across 15+ teams with embedded AI support
Perplexity Enterprise Pro’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 Pro 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 Pro 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 Pro.
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.
Given the flexibility, security, and accuracy needs of the Cavs, Perplexity Enterprise Pro became the Cavs’ number-one pick. Once Ben started using Perplexity, he saw that onboarding fellow organizational teams would be technologically easy. The challenge in every organization with a new process is getting buy-in. To ensure Team Members understood the full benefits of Perplexity Enterprise Pro, Ben met with each team to explain how the tool could improve their daily performance and efficiency. One perfect example is that he showed the IT team how to simplify explanations of technical topics for non-technical stakeholders, saving time and increasing the ease of novice understanding using Perplexity.
The use case that most attracted teams to Perplexity was far simpler. They witnessed firsthand how Perplexity’s advanced web search empowers everyone in the Cavs organization to take research into their own hands. As Ben affirms, “Perplexity Out-Googles Google.”
Perplexity’s AI search engine sifts through clutter and closes knowledge gaps. “That’s where all of the magic begins,” Ben says. “Perplexity augments repetitive, mundane tasks, so team members can focus on human skills like critical thinking, problem-solving and empathy.” In other words, the team spends less time searching and more time on deep work. The advantages that Perplexity offers in search also include that it:
Enables Mixed-Media Searches: The ability to add documents and images to searches allows anyone in the organization to get results tailored to their needs. For example, the development team can drop a graph about ticket sales into Perplexity, and the AI summarizes the document’s emerging trends in one click — without sacrificing data privacy (unlike other AI tools, Perplexity never retains critical customer data).
Lowers the Learning Curve: Perplexity is LLM agnostic, so AI beginners and experienced users alike get immediate value from the tool — whether they need an in-depth detailed response or natural-sounding answers.
Saves Valuable Time: Rather than drafting separate knowledge-based documentation for each of the Cavaliers’ departments, Team Members can attach relevant documents to a Perplexity search. The tool then easily parses meaning from this context and provides quick answers. With this functionality, Perplexity streamlines prospecting for the partnerships team by writing bespoke outreach emails in a flash.
Consolidates In-Depth Learnings: Perplexity also makes it easy for the Cavs to analyze long, complex documents, saving months of research. For example, the sustainability team used Perplexity to analyze long environmental studies in the Cleveland area to reveal how climate change may impact their stadium operations. These findings enabled the organization to approach events with sustainability in mind.
With Perplexity, the organization conducts deep research and finds relevant information far faster than before – driving efficiency gains and saving valuable time across teams.
The Result
The Result
Supercharged workflows, deep research, and faster task completion
Supercharged workflows, deep research, and faster task completion
Supercharged workflows, deep research, and faster task completion
Perplexity Enterprise Pro 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 Pro 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.”
Perplexity Enterprise Pro has been a huge time-saver for the entire Cavaliers organization. For the partnerships team, email outreach (spanning partner identification, strategy and drafting) used to take up to two hours. Now, this task takes only a few minutes from end-to-end. What’s more, Ben himself saves up to 20 hours per week using Perplexity. He says the tool handles all his repetitive tasks from end-to-end. For instance, when Ben needs information for a presentation, Perplexity swiftly summarizes documents on his behalf. “This makes gathering information nearly effortless,” he says. With these knowledge gaps closed, Ben has been hard at work ramping up the Cavaliers’ AI architecture. Ben calls Perplexity the “best, most secure tool of its kind. It’s proved that it can keep our information safe while augmenting and enriching roles across our organization.”
Best of all, the Cavaliers continue to find innovative use cases to boost efficiency and increase Team Member autonomy with Perplexity. Ben envisions adding the tool to new hire orientation next. This way, new Team Members can ramp up faster and provide value to the organization sooner.
Company name
Lambda
About the company
Lambda was founded in 2012 by AI engineers with published research at the top machine learning conferences in the world. The company’s goal is to become the #1 AI compute platform serving developers across the entire AI development lifecycle. Lambda enables AI engineers to easily, securely and affordably build, test and deploy AI products at scale. The company’s product portfolio spans from on-prem GPU hardware to hosted GPUs in the cloud. Lambda’s mission is to create a world where access to computation is as effortless and ubiquitous as electricity.