Sales teams do not struggle because they lack data. Most modern revenue teams already have call recordings, CRM records, meeting notes, dashboards, transcripts and pipeline reports. The harder problem is that the most useful insight often arrives too late. A manager may review a call after the buyer has already cooled off. A rep may notice a missed objection only after the meeting ends. A sales playbook may exist, but it may not show up at the exact moment when the conversation needs it.
That is the gap Burak Aksar is trying to close with Spiky.ai.
As the founder and CEO of Spiky.ai, Burak Aksar is building around a clear idea. Sales coaching should not only happen after the call. It should support revenue teams while customer conversations are still unfolding. Spiky.ai brings AI meeting intelligence, live sales guidance, CRM automation and conversation insights into one workflow, helping teams understand what is happening in the moment and act with more confidence.
For revenue leaders, this matters because sales performance is no longer just about hiring talented reps or buying another analytics tool. It is about helping every rep execute better in real time, follow the right playbook, respond to buyer concerns and keep the pipeline moving with cleaner data.
Who is Burak Aksar
Burak Aksar is best known as the founder and CEO of Spiky.ai, an AI SaaS company focused on real time customer insights and sales coaching for revenue teams. His founder story stands out because it is not built only on sales software experience. It also comes from deep work in artificial intelligence, machine learning and applied data systems.
Before building Spiky.ai, Burak developed a strong technical background around machine learning frameworks, explainable AI and performance analytics. That kind of experience is important because sales conversations are messy. They are not clean rows in a spreadsheet. A single meeting can include buyer emotion, pricing pressure, objections, stakeholder signals, product questions, pauses, tone shifts and next step confusion.
Turning that kind of live conversation into something useful requires more than simple transcription. It requires AI that can detect patterns, understand context and deliver guidance in a way that helps people make better decisions.
That is where Burak’s technical background connects with the mission of Spiky.ai. He is not just building another tool that records calls. He is working on a system that helps revenue teams learn from customer conversations while those conversations still matter.
What Spiky.ai does for revenue teams
Spiky.ai is a real time AI sales coaching and meeting intelligence platform. In simple terms, it helps sales and revenue teams understand meetings better, coach reps faster and keep CRM records more accurate without adding more manual work.
The platform is designed for teams that rely on customer conversations to move deals forward. That includes account executives, sales development teams, customer success teams, sales managers, revenue operations leaders and founders running go to market teams.
Spiky.ai focuses on areas such as live meeting feedback, conversation intelligence, automated notes, playbook tracking, objection handling, CRM sync and team performance visibility. Instead of only showing what happened after a call, the platform is built to help reps while the meeting is still active.
That difference matters. A call recording can tell a team what went wrong. A transcript can show what was said. A post-call summary can save admin time. But real time coaching can help a rep change direction before a key moment is lost.
For example, if a buyer raises a concern about implementation risk, a real time coaching system can surface a helpful response or remind the rep to ask a follow-up question. If a rep is talking too much and not letting the buyer explain the problem, the system can flag that behavior. If a sales methodology such as MEDDPICC is being used, Spiky.ai can help identify which parts of the qualification process are being covered and which areas still need attention.
This is where the product becomes more than a meeting assistant. It becomes a support layer for the entire revenue process.
Why real time sales coaching matters now
Sales has become more complex. Buyers are more informed, budgets are more closely reviewed and deals often involve multiple stakeholders. A rep may be speaking with a champion in one meeting, a technical buyer in another and a finance leader later in the process. Each conversation carries different signals.
At the same time, sales managers cannot sit in every meeting. Even when they review recordings, the feedback often comes days later. That delayed coaching can help with long-term improvement, but it does not always help the deal that is happening right now.
Real time sales coaching changes the timing of feedback. Instead of waiting until the call is over, AI can help during the conversation. It can surface prompts, flag missed topics, highlight buyer concerns and remind reps to follow the sales playbook.
This does not replace human coaching. The best sales leaders still need to guide strategy, mentor reps and build team culture. But real time AI coaching gives managers more leverage. It helps them scale their best practices across more calls and more reps.
For growing revenue teams, that is a major advantage. Coaching becomes less dependent on random call reviews and more connected to daily selling behavior.
How Burak Aksar is turning AI research into practical sales tools
One of the most interesting parts of Burak Aksar’s work with Spiky.ai is the way it connects AI research with a practical business problem.
Many AI tools sound impressive in theory but fail inside real workflows. Sales teams do not need abstract intelligence. They need help with actual conversations, messy CRM data, missed follow-ups, inconsistent qualification and unclear buyer intent.
Spiky.ai is built around that practical reality. It takes the kind of data that sales teams already create every day and turns it into something more useful. Calls, meetings, buyer questions, talk patterns, objections, playbook fields and CRM updates become a source of coaching and decision-making.
That approach reflects a stronger use of AI. The value is not only in generating a summary or creating a transcript. The value is in helping a human perform better at the moment of action.
For a sales rep, that could mean receiving a nudge to ask about decision criteria. For a sales manager, it could mean seeing which reps skip budget conversations. For revenue operations, it could mean cleaner CRM records that reflect what actually happened in meetings.
Burak Aksar’s founder journey shows how technical depth can become more powerful when it is tied to a real business workflow.
Inside Spiky.ai’s real time coaching approach
Spiky.ai’s approach is built around the idea that customer conversations contain signals that teams should not miss. Some signals are obvious, like a buyer directly asking about pricing. Others are more subtle, like hesitation around timelines, concern about internal approval or a shift in tone when implementation comes up.
The platform helps revenue teams capture these signals and use them in several ways.
Live feedback during sales calls
Live feedback is one of the clearest parts of Spiky.ai’s value. During a sales conversation, reps can receive guidance that helps them adjust while the buyer is still engaged.
That guidance may relate to talking speed, talk ratio, objection handling, buyer sentiment or missing qualification topics. For newer reps, this can feel like having a coach beside them. For experienced reps, it can act as a second set of eyes that catches details they may miss while managing the conversation.
The goal is not to interrupt the human side of selling. The goal is to help reps stay present, ask better questions and respond to the buyer with more context.
Playbook support when reps need it most
Most sales teams have playbooks. The problem is that playbooks are often stored in documents, training sessions or enablement platforms that reps do not open during live calls.
Spiky.ai brings playbook support closer to the conversation. If a team follows a sales methodology, the platform can help identify whether important topics are being covered. That may include pain points, budget, authority, decision criteria, timeline, success metrics and next steps.
This is especially useful for managers who want consistency across the team. Instead of guessing whether reps are following the process, they can see patterns across real conversations.
Better visibility for sales managers
Sales managers often face the same challenge. They want to coach well, but they do not have enough time to review every call in detail.
Spiky.ai gives managers a clearer view of what is happening across meetings. They can look at coaching gaps, recurring objections, playbook adoption, rep performance and deal risks. This helps them move from general advice to specific coaching.
Instead of saying, “You need better discovery,” a manager can point to missed budget questions, weak follow-up moments or repeated buyer objections. That makes coaching more useful and easier for reps to act on.
Smarter CRM updates without extra admin work
CRM data is only useful when it is accurate. But many sales teams struggle with manual updates. Reps are busy moving from one call to the next, and CRM notes often become rushed, incomplete or outdated.
Spiky.ai helps by syncing meeting insights into CRM workflows. This can reduce admin work and give leaders a more reliable view of pipeline activity.
For revenue operations teams, this is important because clean data affects forecasting, coaching, handoffs and reporting. When meeting intelligence connects directly with CRM records, the whole revenue team works from a stronger source of truth.
How Spiky.ai helps teams move beyond basic call recording
Call recording was once a major step forward for sales teams. It allowed managers to revisit conversations and helped reps learn from real examples. But recording alone is no longer enough.
A recording captures what happened. A transcript makes it searchable. A summary saves time. But none of those things automatically help a rep handle an objection in the moment.
Spiky.ai is part of a newer category of AI sales tools that move from passive documentation to active guidance. This shift matters because the best sales conversations are dynamic. A buyer may reveal a problem once. A stakeholder may hint at a hidden blocker. A pricing objection may appear in a small phrase rather than a direct statement.
If the team only learns about those moments later, the opportunity may already be weaker.
By combining meeting intelligence with real time coaching, Spiky.ai helps teams use conversation data while it still has immediate value. That is a different mindset from simply collecting more sales data. It is about turning the meeting itself into a more guided, informed and coachable experience.
The growth story behind Spiky.ai
Spiky.ai has gained attention because it sits at the intersection of several important trends. Revenue teams want better coaching. Sales leaders want more reliable pipeline visibility. Reps want less manual admin. Companies want AI tools that fit into the way people already work.
The company has also built momentum through startup ecosystem recognition and funding. Spiky.ai is connected with the 43North Y10 2025 cohort and is listed as an AI SaaS company focused on real time customer insights for revenue teams. The company has also announced funding to continue building its AI-powered sales conversational intelligence platform.
These milestones matter because they show that Spiky.ai is not only solving a narrow productivity issue. It is addressing a larger shift in how companies think about revenue execution.
For years, sales technology focused heavily on tracking activity. How many calls were made. How many emails were sent. How many meetings were booked. Those metrics still matter, but they do not tell the full story.
The next stage is about quality. What happened in the conversation. Which buyer signals appeared. Which objections were missed. Which reps follow the playbook. Which deals are moving forward with real momentum.
That is the space where Spiky.ai is trying to build lasting value.
What makes Burak Aksar’s founder story different
Burak Aksar’s story is not just about launching an AI company during a popular technology wave. It is about applying AI to a problem where timing, context and human behavior all matter.
Sales is a difficult area for AI because conversations are emotional and situational. A good response depends on the buyer, the deal stage, the industry, the product and the tone of the meeting. A generic prompt is not enough.
That is why Spiky.ai’s focus on real time coaching is meaningful. It pushes AI closer to the actual moment where sales performance is shaped. It also shows how AI can support human skill rather than simply automate a task.
Burak’s technical background gives him a useful lens for this challenge. Building AI for sales is not only about detecting words. It is about understanding patterns, surfacing the right guidance and making the output usable for busy teams.
That is a different kind of founder advantage. It combines technical depth with a practical understanding of how revenue teams operate.
Why Spiky.ai fits the future of revenue teams
The future of sales technology is likely to be less about adding more dashboards and more about making teams sharper during the work itself.
Revenue teams already have plenty of tools. What they need is better connection between those tools, better timing of insights and better visibility into customer conversations. Spiky.ai fits this shift because it focuses on real time support, meeting intelligence and workflow automation.
For sales reps, this can mean more confidence during calls. For managers, it can mean more targeted coaching. For revenue operations, it can mean cleaner data and better forecasting inputs. For executives, it can mean a clearer understanding of why deals are won, lost or delayed.
As AI becomes more common inside the sales stack, the strongest platforms will likely be the ones that feel useful inside daily work. Spiky.ai is building toward that idea by helping teams make every meeting more measurable, coachable and actionable.
Lessons founders can learn from Burak Aksar and Spiky.ai
Burak Aksar’s work with Spiky.ai offers useful lessons for other founders, especially those building in AI and B2B SaaS.
The first lesson is to start with a real pain point. Sales teams do not need AI for the sake of AI. They need help improving conversations, coaching reps, reducing admin and understanding pipeline risk.
The second lesson is to bring technical depth into a practical workflow. AI becomes more valuable when it fits naturally into the tools teams already use, such as CRM platforms, video meeting software and sales playbooks.
The third lesson is to focus on timing. In sales, the right insight after the call is useful, but the right insight during the call can be far more powerful.
The fourth lesson is to help teams scale winning behavior. Every sales organization has top performers who handle objections well, ask strong discovery questions and guide buyers with confidence. A platform like Spiky.ai can help turn those behaviors into repeatable patterns across the team.
That is the bigger story behind Burak Aksar and Spiky.ai. It is not only a story about AI sales coaching. It is a story about using AI to make human conversations more effective, more informed and more connected to revenue outcomes.