How Nektar Helps AI Hypergrowth Companies Move Even Faster Artificial Intelligence 10 min Fast-moving AI companies are having a moment. Every week a new AI-native startup crosses $100M ARR in what feels like record time. Accel’s 2025 Globalscape report shows a “new breed of AI-native applications” hitting scale much faster than previous generations of SaaS, with some reaching $100M ARR in just a few years. That velocity is backed by unprecedented capital. Prominent AI companies like Cursor, Writer, Groq and Fireworks are raising huge rounds, hiring at triple-digit growth rates, and building products that spread virally from individual builders into the world’s largest enterprises. AI application categories like developer tools, finance, cybersecurity and vertical AI each attracted multiple billions of dollars in 2025 funding alone. Nektar sits right in the middle of this wave. Over the past year, we’ve partnered with some of the fastest-growing AI companies in the US – including Writer, Cursor, Groq, Chainguard and Fireworks  to help them turn raw go-to-market activity into clean, structured, AI-ready data they can actually execute on. This blog looks at why AI companies grow differently, what that does to their GTM data, and how Nektar helps them grow even faster. The new AI growth curve: Speed, Efficiency and Youth Funding and company maturity Accel’s data makes one thing clear: AI is no longer a niche category. It’s the new centre of gravity for software investing. Total EU/US/IL cloud & AI funding (excluding models) has climbed into the ~$180B+ range annually, with 2025 setting fresh records.   AI model funding is heavily concentrated in the US, but on the application side, EU/IL funding now represents roughly two-thirds of US levels, showing how global this wave has become. The winners look very different from the last SaaS cycle: over 65% of the Accel US & Europe AI 100 are 0–3 years old, and US winners skew especially young at 2.4 years on average. Put simply: AI companies are raising big, hiring fast, and still figuring out their GTM motion on the fly. Bottom-up adoption and insane efficiency AI-native tools are spreading from the bottom up: Developers using AI coding assistants jumped from 36% in 2023 to 90% in 2025 – in just two years. Tools like AI IDEs, agents and copilots are hitting milestones such as “$100M ARR in 8 months” and “10x YoY growth,” according to Accel’s case studies of leading AI-native apps. This isn’t just fast growth – it’s efficient growth. Accel estimates that leading AI applications now generate 3–10x more ARR per employee than prior generations of SaaS companies. But that speed and efficiency create a GTM paradox: You can scale product adoption and revenue incredibly fast. But your GTM data, process and tooling often lag badly behind. The hidden tax of hypergrowth: messy GTM data Most fast-growing AI companies share a few traits: They sell into large, multi-person buying committees (Fortune 500, Global 2000, high-growth tech). They run hybrid motions – PLG bottoms-up adoption plus enterprise sales, often with heavy founder-led or executive-led outbound. Their GTM stack is complex and evolving: Salesforce + Gong + Snowflake + ABM + sequencing tools, changing every few quarters. They are young – which means processes, definitions and data hygiene were rarely “designed,” they just happened. That shows up in four chronic problems: Invisible buying groups Activity sits at the account or activity object level, not tied to which humans are actually influencing a deal. Contact roles are incomplete, incorrect, or simply not used. Multi-threading that’s impossible to measure Leadership wants reps and CSMs to multi-thread. But nobody can answer basic questions like: “How many net new stakeholders did this SDR actually bring in?” “Which deals progressed because we pulled in the economic buyer early?” Broken marketing attribution for enterprise deals First-touch and last-touch models collapse when there are 10–20 stakeholders, dozens of events and campaigns, and long sales cycles. “Marketing sourced” covers only a small fraction of reality. No shared view of the customer journey Pre-pipeline engagement, in-pipeline meetings, onboarding, success reviews, expansion conversations – they live in different systems owned by different teams. This is exactly the gap Nektar is built to fill. Nektar as the data backbone for AI GTM At its core, Nektar is a revenue data platform that: Harvests metadata from communication tools (email, calendar, meetings, sequences). Cleans and transforms that data. Writes it into Salesforce against the right opportunities, accounts, contacts and leads. Automatically creates and updates Opportunity Contact Roles (OCRs) with accurate personas (economic buyer, champion, influencer, etc.). Generates revenue signals that help teams act – from “missing exec sponsor” to “multi-threading risk” to “QBR overdue.” Writer is a great illustration of how fast-moving AI companies use this foundation Writer: building an AI-ready GTM engine on top of Nektar Writer is an enterprise AI platform selling into Fortune 500 and Global 2000 organizations. Their GTM complexity is huge: multi-persona deals, long cycles, and a mix of PLG, partner, and enterprise motions. One activity capture layer for Sales, CS and Marketing Writer started with Nektar in sales, then expanded to sales engineering, customer success and now marketing. Nektar: Captures emails, meetings and other activities from tools like Gmail and calendar. Associates them correctly with accounts, opportunities and contacts in Salesforce. Backfills historical data by “travelling back in time” across past emails and calendars, so data isn’t limited to post-implementation activity. Creates missing contacts and writes them into Salesforce as OCRs with mapped personas. Compared with their previous setup (Gong plus internal workarounds), Writer’s RevOps leaders called out that Nektar simply does a better job of capturing and correctly associating activities, especially in complex account structures with multiple open opportunities. This gives Writer a single, reliable activity dataset they can push into their warehouse (GCP) and model in Omni for analytics – a critical enabler for AI-driven GTM. Making multi-threading measurable (and compensable) Writer wants SDRs and AEs to multi-thread aggressively – and they want to pay them for doing it. The problem: Nektar was so good

5 Ways to Improve Your Sales Pipeline Visibility RevOps 10 min Driving the sales pipeline in an organization is like driving a vehicle. You have a goal, a rough map of how to reach your destination, and you want to avoid roadblocks and reach the end-point quickly. However, navigating a sales pipeline without proper visibility is like driving a car through the night without headlights. You might have a general idea of where you’re going, but you need help seeing the obstacles or opportunities ahead. Just as headlights illuminate the road and allow you to make informed decisions about your driving, sales pipeline visibility provides insight into the status of your sales opportunities. It enables you to make strategic decisions to move deals forward. 93% of sales organizations are unable to forecast revenue within 5% error, even in the two weeks prior to the end of the quarter. A lack of visibility can result in overestimating the company’s financial performance, leading to missed targets, misaligned resources, and poor decision-making.  Without clear visibility into the pipeline, sales teams may not be able to prioritize leads effectively, resulting in missed opportunities and lost revenue. Poor visibility can also make it difficult to identify and address inefficiencies in the sales process, leading to longer sales cycles and decreased customer satisfaction.  In this blog, we try to understand what sales pipeline visibility is, the ways to improve it, and the role of clean data in your sales pipeline visibility.    What is Sales Pipeline Visibility? Sales pipeline visibility refers to seeing and understanding the various stages of a company’s sales process, from lead generation to closing deals. Information in the form of data should be available to all revenue teams, including sales, marketing, finance, product management, and customer success.  The visibility in the sales pipeline allows sales managers and team members to track the progress of sales opportunities, identify potential bottlenecks or issues, and make informed decisions about resource allocation and sales strategy.  Typically, a sales pipeline comprises several stages: lead generation, qualification, needs analysis, proposal, negotiation, and closed-won. Stages of a Sales Pipeline: Lead Generation, Qualification, Needs Analysis, Proposal, Negotiation, Closed-Won. 1. Lead generation It’s the first stage of the sales pipeline, and it involves identifying potential customers. This can be done through various means, such as cold-calling, email campaigns, or social media outreach. 2. Qualification Once leads are generated, they need to be qualified to ensure that they are a good fit for the product or service being sold. This process involves gathering more information about the lead, such as their budget, timeline, and decision-making process, to determine whether they are likely to make a purchase. 3. Needs analysis In this stage, the sales team works with the potential customer to understand their specific needs and challenges, and how the product or service being sold can help address them. It helps tailor the sales pitch and personalize the proposal. 4. Proposal Once the customer’s needs have been analyzed, the sales team creates a proposal or quote that outlines the specific solution being offered, along with pricing and other details. 5. Negotiation After the proposal is presented, the sales team may need to negotiate with the customer to address any concerns or objections they may have. This may involve making adjustments to the proposal or offering incentives to help close the deal. 6. Closed-won The final stage of the sales pipeline is when the customer agrees to purchase the product or service, and the deal is closed. This represents the successful conversion of a potential customer into a paying client. Having good sales pipeline visibility means that you can track and analyze the progress of each sales opportunity at every stage of the sales process. It helps you forecast revenue accurately, plan accordingly, and identify areas where you can improve your sales process. Let’s see how organizations can improve their sales pipeline visibility: 5 Ways to Improve Sales Pipeline Visibility 1. Define clear sales stages Clearly defining each stage of the sales process is the first step in improving sales pipeline visibility. Each sales stage should have specific criteria determining when a deal moves to the next one. Sales teams can then accurately track where each value is in the pipeline and prioritize their efforts on deals most likely to close. Analyzing conversion rates between each stage helps generate more accurate sales forecasts. Additionally, clear sales stages promote accountability by identifying who is responsible for moving deals forward and preventing them from falling through the cracks. 2. Implement a CRM system A Customer Relationship Management (CRM) system is essential for improving sales pipeline visibility. By centralizing Dedicated CRM platforms like HubSpot centralize all customer and prospect data, so sales teams can easily track and manage their deals from a single platform. Sales reps can easily view the status of each deal, as well as any associated tasks, notes, and documents. Implementing a CRM system can increase sales productivity, improve customer relationships, and create a more efficient and effective sales pipeline. 3. Assign ownership and accountability By assigning ownership, sales teams can ensure that each deal has a designated owner responsible for moving it through the pipeline. This helps to prevent deals from falling through the cracks and ensures that there is someone accountable for each stage of the process. In addition to ownership, it’s also important to set accountability. This means that each team member should be responsible for specific tasks and activities within the sales process. For example, one team member may be responsible for scheduling meetings, while another may be responsible for preparing proposals. By assigning ownership and accountability, sales teams can streamline their sales process and improve visibility into the pipeline. This allows for better deal tracking, more accurate forecasting, and more effective decision making. 4. Use data analytics Data analytics can provide valuable insights into the performance of the sales pipeline. Analyzing data such as conversion rates, win/loss ratios, and sales cycle times can help identify areas for improvement

How Activity Tracking Can Help You Get Better Visibility Into Deals RevOps 10 min There hasn’t been a time that demanded sustainable revenue growth more than now. Economic headwinds of the last few months have forced businesses to rethink their revenue growth strategies and focus on efficiency. This means getting away with anything that does not make a positive dent in revenue or causes revenue to leak across the sales funnel. But cutting deep costs is not the only way to increase profits. It’s about doubling down on what’s working. And investing time and resources in strategies that help the whole company march towards the same objective – increased revenue.  And there is one sure shot way of achieving this. By knowing exactly what’s happening with your deals. And how can you do that? Activity tracking. Let’s dive deep. What is Activity Tracking? Activity tracking in sales refers to monitoring and recording the various actions and behaviors undertaken by sales professionals as they engage in their sales activities. It involves tracking and measuring the specific activities performed during the sales process, such as the number of calls made, emails sent, meetings scheduled, demos conducted, and deals closed. The purpose of activity tracking in sales is to gain insights into the sales process, assess individual and team performance, and make data-driven decisions to improve sales effectiveness.  What is an Activity Tracking Software? An activity tracking software is designed to monitor and record the various activities performed by sales representatives or teams. These activities typically include interactions with leads and prospects, customer communication, follow-ups, and other sales-related tasks. The primary purpose of activity tracking software is to help sales managers and team leaders assess and improve the productivity and effectiveness of their sales teams. Why Do We Need Activity Tracking? Accurately and comprehensively capturing activity data poses a significant challenge. Despite 67% of businesses utilizing 4 to 10 digital tools, they need to track the activity data generated by these tools completely and precisely. Additionally, 79% of opportunity-related data sales representatives collect never enters the CRM. Moreover, the data recorded in systems like CRM could be more reliable, plagued by issues like outdated, missing, or incomplete entries. This lack of data accuracy is a concern for as many as 70% of revenue leaders, leading to substantial financial losses averaging around $15 million per year for organizations. The presence of accurate and complete activity data in systems like CRM creates misalignment among teams in terms of their technological tools and objectives. When sales teams grapple with questions about updated prospect contact information or the correctness of email IDs in the CRM, their efficiency could improve, positively impacting both businesses and customers. Due to lacking confidence in the data, sales, and marketing teams work in the dark, unable to leverage the full potential of significant investments like CRMs. This situation results in poor returns on investment for such resources. https://www.youtube.com/watch?v=GO6zZpHUoIg&t=1s How Does Poor Activity Data Affect Revenue? Poor data and a lack of activity data in the CRM can harm gaining accurate insights and lead to revenue leakage throughout the customer journey. Here are some key points to consider: 1. Inaccurate or incomplete data When data quality is compromised, it becomes challenging to extract meaningful insights. Only complete or updated information can lead to correct assumptions and flawed decision-making. 2. Missed opportunities Important customer interactions and touchpoints may go undocumented without comprehensive activity data. This lack of visibility can result in missed opportunities to engage prospects, address their needs, and nurture relationships, leading to potential revenue leakage. 3. Ineffective sales strategies The absence of activity data hinders the ability to analyze and optimize sales strategies. Without a clear understanding of which activities drive results, aligning sales efforts with customer preferences and needs becomes difficult, resulting in suboptimal outcomes. 4. Inefficient resource allocation With activity data, it’s easier to assess the productivity and effectiveness of sales teams. This can lead to misallocation of resources, including time, effort, and budget, resulting in revenue leakage and diminished returns on investment. Clean data is essential for Activity Tracking Software as it ensures accurate and error-free information, leading to reliable insights into sales team activities and facilitating better decision-making and performance analysis. With clean data, the software can provide a comprehensive view of sales interactions, prospect engagement, and customer behavior, enabling businesses to identify opportunities, optimize processes, and enhance overall sales efficiency.  Moreover, clean data minimizes the risk of misinterpretation or skewed reporting, fostering greater trust in the software’s output and empowering sales managers and teams to take data-driven actions to achieve their goals. Benefits of Activity Tracking Software Here’s a look at the various advantages of an activity tracking software: 1. Clear visibility into deals Increased visibility into deals serves as a prerequisite for enhancing productivity. When you have comprehensive activity data, you better understand each deal’s status, identify areas that require improvement, and prioritize values that need immediate attention.  Consider the importance of deal reviews in a successful sales process. By utilizing insights derived from unified activity data, deal reviews can evolve from impromptu events to impactful sessions, where sales managers gain clear visibility into the intricacies of every deal.  As activities related to each deal are automatically captured and updated, managers no longer need to remind sales representatives to input data into the CRM constantly. Instead, both reps and managers can access a comprehensive view of contacts and deal specifics within the pipeline, allowing them to focus on urgent matters. 2. Identification of winning rep behaviours Activity data enables you to correlate the productivity of your sales representatives with their performance. For instance, you can obtain crucial insights to answer important questions such as:  Activity data helps map sales reps’ productivity to their performance It provides answers to critical questions such as time allocation, engagement with high-value customers, decision-maker involvement, adherence to best practices, sales target progress, account engagement, and lead follow-up Insights from activity data serve as leading indicators for real-time coaching and decision-making Managers gain visibility into sales reps’