Spiky.ai is a sales coaching and meeting intelligence platform for revenue teams, with real-time coaching, transcription, CRM sync and AI insights.
Spiky.ai is a sales coaching and meeting intelligence platform for revenue teams. It combines transcription, meeting summaries, CRM sync, and AI-driven insights to help teams capture what happened in conversations and act on it quickly.
The product is built around three linked workflows: capturing conversations, extracting signals from those conversations, and guiding reps with live recommendations and playbooks. The site positions Spiky for sales, customer success, and growth teams that want to standardize effective behaviors, reduce manual follow-up work, and make review more efficient.
Captures calls, meetings, and emails, then structures the conversation into signals such as sentiment, objections, buyer intent, and follow-up items. This gives teams a searchable record instead of raw conversation transcripts alone.
Surfaces guidance during live calls through real-time coaching, playbooks, battlecards, participant insights, and call momentum cues. The home page describes this as guidance that appears in the moment when it matters.
Connects with CRM and Slack workflows so conversation insights can flow into the systems teams already use. The site also highlights auto-sync to CRM and follow-up sequence triggers.
Supports automated transcription, meeting summaries, topic detection, reel sharing, and action item identification. These outputs help teams review what happened and decide what needs follow-up after the meeting.
Provides team-level reporting and customization options such as report customization, executive dashboards, sentiment reporting, keyword tracking, and playbook customization. These features are aimed at surfacing patterns across many calls rather than single meetings.
Sales managers can review calls and conversations at scale, then use the extracted signals to spot common objections, pricing pressure, or winning talk tracks. The product’s summaries and signal extraction are designed to make review less manual.
Reps can receive live prompts, playbooks, and battlecards during meetings to handle objections, keep discovery on track, and follow the next best action. The home page emphasizes guidance that appears in the moment, not just after the call.
Operations teams can sync conversation outcomes into CRM records and related workflows, reducing manual updates after every meeting. The case study material highlights automation of CRM tasks and improved data accuracy.
Enablement teams can identify patterns from top performers, then standardize those behaviors across the broader team with playbooks, keyword tracking, and report customization. This fits organizations trying to replicate successful talk tracks and follow-up sequences.
Customer success and account teams can use meeting intelligence to watch for stakeholder changes, usage milestones, and QBR sentiment signals that support retention and expansion work. The home page explicitly connects these signals to net-retention outcomes.
Spiky is presented as a sales coaching and meeting intelligence platform. The site describes real-time coaching, CRM sync, transcription, topic detection, meeting summarization, and call review workflows for revenue teams.
The pricing page shows Free, Plus, Pro, Premium, and Enterprise options. It also notes trial access and a contact-sales path for Enterprise, with meeting limits and support levels varying by plan.
The source explicitly names Salesforce, HubSpot, Slack, Zoom, Teams, Gmail, Outreach, and Salesloft on the integrations section, and it also refers to CRM and Slack integrations. The full integration list appears broader than the examples shown.
The site says it is SOC 2 Type II certified, GDPR compliant, KVKK compliant, and powered by ISO 27001 infrastructure. The FAQ list also includes security and data storage questions, indicating those topics are part of the product’s documentation.
The product is framed for revenue and GTM teams, including sales, customer success, and growth organizations. Case studies show use in sales operations, post-meeting review, and customer support workflows.
