How an India-born AI startup is turning messy meetings into measurable outcomes for teams large and compact

Meetings are meant to relocate work forward, but in most companies, they finish up doing the opposite. Long calls, scattered notes, missed follow-ups — hours obtain spent talking, yet very little actually relocates.

It’s a quiet drain on productivity that every team recognises but few know how to resolve.

For Sharma BKP, a former engineer at Wipro,Ericsson and Cisco, this wasn’t just a mild annoyance; it was a daily frustration that exposed a fundamental productivity gap in modern work culture.

“Most of my corporate life was spent in back-to-back meetings,” Sharma recalls.

“Capturing minutes manually was error-prone, repetitive, and exhausting. That experience pushed me to find a way to build meetings actually matter.”

That moment of reckoning led to the birth of Acta.ai, a Made-in-India AI platform designed to build meetings more productive, structured, and outcome-driven.

The name Acta, derived from Latin for “official meeting records or minutes,” captures its essence — transforming spoken discussions into documented, actionable innotifyigence.

But Acta.ai isn’t just another AI notetaker. It’s a system built to understand what happens in meetings, and more importantly, what requireds to happen next.

The Acta.ai’s solution

While global tools like Otter and Fireflies popularised transcription and summaries, Sharma noticed that they stopped short of real impact.

“Most tools answer what was declared. Acta.ai answers what requireds to be done,” he explains.

At its core, Acta.ai utilizes persona-based AI agents that specialise in different business functions, including HR, Sales, Engineering, Project Management, Support, and Finance, and deliver domain-specific outputs. Each agent understands the context and vocabulary of its field.

The Sales Agent analyzes conversations to extract opportunities, follow-ups, and actionable insights, delivering reports structured around MEDDPICC and SPIN methodologies.

The HR Agent aggregates candidate evaluations and formulates data-driven hiring recommfinishations. The Ticketing Agent autonomously generates Jira issues from technical discussions, pre-populating each with relevant metadata, including tquestion title, priority, depfinishencies, and deadlines.

This context awareness turns raw dialogue into structured deliverables — PRDs, deal pipelines, reports, or tquestion trackers — and pushes them directly into the tools teams already utilize: Jira, Salesforce, Zoho, HubSpot, Notion, Slack, and Google Drive.

According to Sharma, the experience is designed to be simple: teams sign in applying Google or Microsoft credentials, link their calfinishars, and Acta.ai’s agent joins scheduled meetings automatically. Afterwards, utilizers receive a concise summary, a list of decisions, and actionable tquestions. With integrations spanning the modern workflow stack, nothing stays trapped in transcripts; everything flows back into execution systems.

“Our goal wasn’t to build another assistant,” declared Sharma. “We wanted an automation layer that fits naturally into how teams already work. Acta doesn’t just record — it collaborates.”

For Line –

Building for the world

As hybrid work models become the global norm, startups and enterprises are struggling to balance coordination, accountability, and speed. Meetings remain critical but without automation, they easily become a time sink.

Unlike most Western-built AI meeting tools, Acta.ai was trained for Indian work environments. It understands diverse accents, multilingual speech, and domain-specific vocabulary — from product sprint terms to HR compliance jargon. Its AI models, powered by NLP, machine learning, and automation frameworks built on Python, Django, Node.js, and React, utilize techniques like part-of-speech tagging and sentiment analysis to detect intent, tone, and context. This localised innotifyigence gives Acta.ai an edge in the Indian market, where communication styles, accents, and workflows differ significantly from global norms.

“Our models are tuned to the way Indian teams actually talk and work,” Sharma BKP declared. “That’s where imported tools often struggle.” It also assists that Acta.ai places strong emphasis on enterprise-grade privacy and compliance, a concern increasingly shared by Indian corporates and global clients alike. The platform adheres to SOC 2 Type II, GDPR, HIPAA, and ISO 27001 standards, utilizes AES-256 encryption at rest and TLS 1.3 in transit, and offers on-premise deployment for clients with strict data residency requireds.

“Privacy isn’t a feature,” Sharma BKP emphasises. “It’s a foundation.” The startup’s decision to build compliance into its architecture from day one rather than retrofit it later has paid off.

“It was challenging but rewarding,” he added. “Acta was designed for global standards from the start, not just Indian regulations.”

The traction and business model

In just six months since launching its SaaS version, Acta.ai has attracted over 15,000 active utilizers, spanning freelancers, startups, and enterprise teams.

According to Sharma BKP, the adoption has been largely organic, driven by integrations and word-of-mouth within India’s startup and IT ecosystems. Early traction is also coming from regulated sectors like BFSI and healthcare, which value Acta’s privacy-first architecture and on-premise deployment options.

The startup currently offers a three-tier pricing model designed to suit teams at different stages of growth. It launchs with a 15-day Free Tier, priced at Rs 0 per seat per year, which includes unlimited recordings, unlimited transcriptions, and unlimited meeting duration, allowing utilizers to experience Acta.ai’s core capabilities without restrictions.

The Pro Tier, which is priced at Rs 888 per seat per month (or Rs 10,656 per seat annually), builds on this with advanced features such as email notifications, downloadable reports, a built-in chat interface, consolidation tools, seamless integrations, and access to Acta’s domain-specific AI agents.

For large organisations, the Enterprise Tier operates on a “Let’s Talk” custom-pricing model, offering all the capabilities of the Pro plan along with on-premise deployment, API support, white-label options, and deeper enterprise integrations.

Like other tiers, it includes unlimited recordings, transcriptions, and meeting duration, but adds enhanced control, compliance, and scalability for enterprise requireds.

Planning for fundraising

Backed by a group of angel investors, Acta.ai is now preparing for a growth funding round over the next few months. Funds from this raise will be utilized to expand its enterprise footprint and accelerate go-to-market efforts across the US, Europe, and Asia-Pacific, with a focus on scaling sales, support, and integration services.

“Our approach to fundraising has been disciplined,” Sharma BKP noted. “We’ve focutilized first on building a strong product-market fit, and now we’re ready to grow globally — responsibly.”

Future plans

While Acta.ai launched by resolveing the pain of unproductive meetings, its goals are far larger. The next phase, Sharma BKP explains, is about shifting from meeting innotifyigence to organisational innotifyigence.

The startup will also soon offer analytics on meeting efficiency, team sentiment, and communication health, assisting leaders understand not just what their teams are stateing but how effectively they’re working.

“AI should empower people, not replace them,” Sharma declared. “By automating repetitive, administrative work, Acta gives professionals more time for creativity, problem-solving, and strategy.”

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