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Best four sales PoC tools in 2025

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The modern sales landscape is evolving rapidly. Complex buying cycles, high customer expectations, and sophisticated products have made traditional “pitch and close” tactics obsolete. Today, sales professionals must demonstrate tangible value to prospects before closing a deal. This is where proof of concept (PoC) tools take centre stage.

A sales PoC is an important bridge between “promise” and “proof.” It allows potential customers to evaluate solutions directly, ensuring they see the value in real-world scenarios. By using advanced PoC tools, sales teams can create immersive experiences, build trust, and accelerate conversion rates.

What are sales PoC tools and why are they important?

A modern sales PoC bridges the gap between “what’s promised” and “what’s possible.” AI-powered PoC tools do more than just show off product features – they learn from prospect interactions, customise demo flows in real time, and deliver insights that traditional approaches simply can’t match.

Why is AI now non-negotiable for sales PoC in 2025?

In 2025, several trends have made PoC tools indispensable in B2B and B2C sales:

  • Real-time personalisation at scale: AI parses everything – prospect industry, past interactions, intent signals – to build uniquely tailored demo environments for each buyer. No more “one size fits all” presentations.
  • Intelligent demo design: Machine learning algorithms predict which features, use cases, and success stories are most likely to move each specific deal forward – then automatically guide the demo, adjusting on the fly to prospect questions and engagement signals.
  • Self-learning automation: AI automates setup, configures environments, reminds sales reps of next steps, and coaches newer staff through best-practice sequences. The allows organisations to scale high-quality PoC delivery without burning out teams.
  • AI-driven analytics and forecasting: Every action, click, and question during a PoC is fed into sophisticated analytics. AI models surface hidden buying signals, predict deal risk, and recommend exactly when and how to follow up.
  • Enhanced data security and compliance: As data privacy becomes paramount, AI constantly monitors for potential compliance issues or sensitive data exposure – ensuring trust as well as performance

In light of these trends, the right PoC tool can be the difference between a lost lead and a loyal customer.

Best sales PoC tools for 2025

1. Cloudshare

Cloudshare is a cloud-based platform tailored for delivering complex software demos, training, and PoCs. Trusted by global enterprise vendors, it provides virtual IT labs that customers and prospects can access anytime, anywhere.

Key features:

  • Instant, on-demand environments: Cloudshare allows sales teams to spin up fully functional, isolated environments mirroring the prospect’s real world. No more time-consuming set-ups or hardware headaches.
  • Lifecycle management: Sales reps can start, pause, resume, and clone PoC environments, ensuring prospects have a seamless experience regardless of their schedules.
  • Automated collaboration: AI-powered scheduling and real-time notification systems ensure that the right reps, engineers, and customer stakeholders are looped in just when they’re needed most.
  • Analytics and engagement Insights: Built-in analytics track how prospects engage with the demo, letting teams focus follow-ups where interest is highest.
  • Scalability and security: Enterprise-grade security ensures sensitive data is protected, and the platform scales for any demo size, from small startups to Fortune 500s.

2. Salesloft

Salesloft is best known as a leading sales engagement platform, but in 2025, it has become a vital PoC tool as well. Its strength is weaving PoC processes into every aspect of sales cadence, making follow-up and nurturing seamless and data-driven.

Key features:

  • PoC automation: Automate the process of moving leads into PoC and demo stages with personalised touchpoints, reminders, and content delivery.
  • Integrated analytics: Tracks every prospect interaction, from first email to final PoC outcome, fuelling data-driven coaching and forecasting.
  • Collaboration and feedback: Built-in messaging, note-taking, and workflow tools allow teams to log PoC feedback directly into the sales process.
  • Multi-channel outreach: Out-of-the-box integration with email, phone, LinkedIn, and other channels ensures prospects move smoothly between stages.
  • AI-powered insights: Suggests next actions based on PoC engagement and identifies which prospects are ready for conversion.

3. Pepsales AI

Pepsales AI is built ground-up as an end-to-end AI-driven PoC platform. It doesn’t just support sales reps – it collaborates with them, using advanced models to optimise demo creation, content sequencing, and engagement in real time.

Key Features:

  • AI-driven customisation: Analyses prospect data and previous deals to automatically propose and set up demo environments most likely to close the deal.
  • Guided demo flows: Recommends ideal demo paths and highlights, making it easy for even new reps to deliver compelling, focused PoCs.
  • Conversational analytics: Uses natural language processing to identify critical prospect questions and objections, feeding key insights back into the sales process.
  • Self-service options: Empowers prospects to explore the tool at their own pace, while the AI collects behavioural insight to optimise follow-up.
  • Integration: Connects seamlessly with leading CRMs, marketing automation, and help desk tools.

4. snapADDY

snapADDY started with a simple mission: eliminate manual data entry in B2B sales. In 2025, it has evolved into a powerful PoC tool, focused on consolidating, enriching, and activating prospect data to create PoCs that are both relevant and frictionless.

Key features:

  • Automated data collection: Extracts prospect data (contacts, company info, needs) from emails, websites, and meeting notes. Eliminates tedious admin so reps focus on selling.
  • Context-aware PoC setup: Uses enriched data to pre-populate PoC dashboards, custom-tailor content, and ensure every demo is hyper-relevant.
  • Smart recommendations: Suggests next steps and necessary materials based on the stage of the buyer’s journey.
  • CRM synchronisation: Updates all PoC engagements and outcomes back to the main CRM without duplicate entry.
  • Privacy and compliance: Strong focus on GDPR and privacy, snapADDY ensures PoC data is handled securely and ethically.

Choosing the right sales PoC tool in 2025: Recommendations

With the landscape evolving so quickly, choosing the right platform comes down to more than features. Here’s what to weigh, through an AI-centric lens:

  • Product complexity: Highly technical products need strong AI in environment building and real-time assistance.
  • Sales cycle velocity: If you’re running a high volume, AI automation is essential for scaling PoC creation, personalisation, and follow-up.
  • Integration & data flow: AI’s true power comes when it can draw on data from CRM, support, product use, and marketing – choose tools with open APIs and robust integration capabilities.
  • AI transparency: Look for platforms whose AI systems are interpret-able and explainable, not black boxes – trust depends on understanding how recommendations are made.

Pilot several platforms, but especially monitor how their AI impacts engagement, conversion, and sales effort reduction.

The future: The unstoppable rise of AI in sales PoCs

Looking ahead, a few seismic AI trends are defining the next era of PoC tools:

  • Hyper-personality modelling: Advanced AI will synthesise everything – role, communication style, even sentiment – to generate one-of-a-kind demos.
  • Autonomous demo agents: AI-powered virtual agents will not only walk prospects through demos, but answer deep technical questions, surface pain points, and adjust environments in real time.
  • Deal threat prediction: Predictive AI will alert reps before a prospect loses interest, and suggest remediation on the fly.
  • Seamless, AI-led integrations: Expect new tools to break down silos – AI will blend sales, product, marketing, and support data for a unified engagement loop.
  • Privacy, trust, and compliance by design: Rather than being an afterthought, AI-driven privacy frameworks will become a top buying criterion, actively safeguarding all PoC data.

    Whether you’re a technical vendor needing virtual labs, a high-volume sales org, a nimble SaaS upstart, or a data-obsessed enterprise, there’s a perfect PoC platform for you. Invest in these technologies, train your teams, and watch your win rates climb higher than ever before.

    (Image source: Unsplash)

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Artificial Intelligence

Shah Muhammad, Sweco: How AI is building the future of our cities

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Shah Muhammad, who leads AI Innovation at the design and engineering firm Sweco, offers his insights into how AI is building the cities of the future.

Ever been stuck in traffic and thought, “Surely, there’s a better way to design this city?” Or walked past a giant new building and wondered if it would be an energy-guzzling monster?

For decades, building our towns and cities has been a slow, complicated process, often relying on educated guesswork. But what if we could give city planners superpowers? What if they could test-drive a dozen different futures before a single shovel hits the ground?

That’s exactly what’s starting to happen. And the secret ingredient is AI.

“AI is revolutionising urban design and infrastructure planning at Sweco by optimising processes, enhancing decision-making, and improving sustainability outcomes,” Shah explains. “It allows us to analyse vast amounts of data, simulate various scenarios, and create more efficient and resilient urban environments.”

Shah is saying that AI gives his team the ability to ask the big questions that will impact people’s lives when designing the cities of the future: “What’s the smartest way to build this neighbourhood to cut down on traffic jams and pollution? How can we design a building that stays cool in a heatwave without huge electricity bills?” The AI can run the numbers on thousands of possibilities to find the best path forward.

Of course, the real world is messy. It’s not a neat and tidy computer simulation. It’s full of unpredictable weather, unexpected delays, and the beautiful chaos of human life. This is the number one headache.

“The biggest challenge in applying data-driven models to physical environments is the complexity and variability of real-world conditions,” Shah says. “Ensuring that models accurately represent these conditions and can adapt to changing conditions is crucial.”

So, how do they deal with that? They start with the basics. They get their house in order. Before they even think about AI, they make sure the information it learns from is rock-solid and trustworthy.

“To ensure data quality and interoperability across projects, we implement rigorous data governance practices, standardise data formats, and use interoperable software tools,” he says.

That might sound a bit technical, but think of it this way: they’re making sure everyone on the team is singing from the same hymn sheet. When all the different software tools can talk to each other and everyone trusts the information, the AI can do its job properly. It “enables seamless data exchange and collaboration among different teams and stakeholders.”

But of all the things AI can do, this next part might be the most hopeful when using it to design future cities. It shows that this technology can have a real heart.

“There are many projects where AI has made a measurable impact on sustainability, making it hard to single out one,” he reflects. “However, if I were to choose, I would highlight a project where AI was used to preserve biodiversity by identifying endangered species and providing this information to researchers.”

In this scenario, technology is giving nature a voice in the planning meeting. It’s like the AI raising its hand and saying, “Hang on, let’s be careful here, there’s a family of rare birds living in this area.” It allows us to build with respect for the world around us.

So, what’s the next chapter? According to Shah, it’s about turning that crystal ball into a real-time guide. 

“According to me, the biggest opportunity for AI in the AEC sector lies in predictive analytics and automation,” Shah explains. “By anticipating future trends, identifying potential issues early, and automating routine tasks, AI can greatly enhance efficiency, reduce costs, and improve the overall quality of projects.”

This could mean safer bridges, roads that need fewer repairs, and less disruption to our lives. It means freeing up talented people from the boring tasks to focus on building the cities of the future that are more in tune with the people who call them home.

Shah Muhammad is speaking at AI & Big Data Expo Europe in Amsterdam on 24-25 September 2025 where he will be hosting a presentation on ‘Leveraging Generative and Agentic AI for Intelligent Process Automation’. Find out more about the event and how to attend here.

See also: Zuckerberg outlines Meta’s AI vision for ‘personal superintelligence’

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Zuckerberg outlines Meta’s AI vision for ‘personal superintelligence’

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Meta CEO Mark Zuckerberg has laid out his blueprint for the future of AI, and it’s about giving you “personal superintelligence”.

In a letter, the Meta chief painted a picture of what’s coming next, and he believes it’s closer than we think. He says his teams are already seeing early signs of progress.

“Over the last few months we have begun to see glimpses of our AI systems improving themselves,” Zuckerberg wrote. “The improvement is slow for now, but undeniable. Developing superintelligence is now in sight.”

So, what does he want to do with it? Forget AI that just automates boring office work, Zuckerberg and Meta’s vision for personal superintelligence is far more intimate. He imagines a future where technology serves our individual growth, not just our productivity.

In his words, the real revolution will be “everyone having a personal superintelligence that helps you achieve your goals, create what you want to see in the world, experience any adventure, be a better friend to those you care about, and grow to become the person you aspire to be.”

But here’s where it gets interesting. He drew a clear line in the sand, contrasting his vision against a very different, almost dystopian alternative that he believes others are pursuing.

“This is distinct from others in the industry who believe superintelligence should be directed centrally towards automating all valuable work, and then humanity will live on a dole of its output,” he stated.

Meta, Zuckerberg says, is betting on the individual when it comes to AI superintelligence. The company believes that progress has always come from people chasing their own dreams, not from living off the scraps of a hyper-efficient machine.

If he’s right, we’ll spend less time wrestling with software and more time creating and connecting. This personal AI would live in devices like smart glasses, understanding our world because they can “see what we see, hear what we hear.”

Of course, he knows this is powerful, even dangerous, stuff. Zuckerberg admits that superintelligence will bring new safety concerns and that Meta will have to be careful about what they release to the world. Still, he argues that the goal must be to empower people as much as possible.

Zuckerberg believes we’re at a crossroads right now. The choices we make in the next few years will decide everything.

“The rest of this decade seems likely to be the decisive period for determining the path this technology will take,” he warned, framing it as a choice between “personal empowerment or a force focused on replacing large swaths of society.”

Zuckerberg has made his choice. He’s focusing Meta’s enormous resources on building this personal superintelligence future.

See also: Forget the Turing Test, AI’s real challenge is communication

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Google’s Veo 3 AI video creation tools are now widely available

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Google has made its most powerful AI video creator, Veo 3, available for everyone to use on its Vertex AI platform. And for those who need to work quickly, a speedier version called Veo 3 Fast is also ready-to-go for quick creative work.

Ever had a brilliant idea for a video but found yourself held back by the cost, time, or technical skills needed to create it? This tool aims to offer a faster way to turn your text ideas into everything from short films to product demos.

70 million videos have been created since May, showing a huge global appetite for these AI video creation tools. Businesses are diving in as well, generating over 6 million videos since they got early access in June.

The real-world applications for Veo 3

So, what does this look like in the real world? From global design platforms to major advertising agencies, companies are already putting Veo 3 to work. Take design platform Canva, they are building Veo directly into their software to make video creation simple for their users.

Cameron Adams, Co-Founder and Chief Product Officer at Canva, said: “Enabling anyone to bring their ideas to life – especially their most creative ones – has been core to Canva’s mission ever since we set out to empower the world to design.

“By democratising access to a powerful technology like Google’s Veo 3 inside Canva AI, your big ideas can now be brought to life in the highest quality video and sound, all from within your existing Canva subscription. In true Canva fashion, we’ve built this with an intuitive interface and simple editing tools in place, all backed by Canva Shield.”

For creative agencies like BarkleyOKRP, the big wins are speed and quality. They claim to have been so impressed with the latest version that they went back and remade videos.

Julie Ray Barr, Senior Vice President Client Experience at BarkleyOKRP, commented: “The rapid advancements from Veo 2 to Veo 3 within such a short time frame on this project have been nothing short of remarkable.

“Our team undertook the task of re-creating numerous music videos initially produced with Veo 2 once Veo 3 was released, primarily due to the significantly improved synchronization between voice and mouth movements. The continuous daily progress we are witnessing is truly extraordinary.”

It’s even changing how global companies connect with local customers. The investing platform eToro used Veo 3 to create 15 different, fully AI-generated versions of a single advertisement, each customised to a specific country with its own native language.

Shay Chikotay, Head of Creative & Content at eToro, said: “With Veo 3, we produced 15 fully AI‑generated versions of our ad, each in the native language of its market, all while capturing real emotion at scale.

“Ironically, AI didn’t reduce humanity; it amplified it. Veo 3 lets us tell more stories, in more tongues, with more impact.”

Google gives creators a powerful AI video creation tool

Veo 3 and Veo 3 Fast are packed with features designed to give you the control to tell complete stories.

  • Create scenes with sound. The AI generates video and audio at the same time, so you can have characters that speak with accurate lip-syncing and sound effects that fit the scene.
  • High quality results. The models produce video in high-definition (1080p), making it good enough for professional marketing campaigns and demos.
  • Reach a global audience easily. Veo 3’s ability to generate dialogue natively makes it much simpler to produce a video once and then translate the dialogue for many different languages.
  • Bring still images to life. A new feature, coming in August, will let you take a single photo, add a text prompt, and watch as Veo animates it into an 8-second video clip.

Of course, with such powerful technology, safety is a key concern. Google has built Veo 3 for responsible enterprise use. Every video frame is embedded with an invisible digital watermark from SynthID to help combat misinformation. The service is also covered by Google’s indemnity for generative AI, giving businesses that extra layer of security.

See also: Google’s newest Gemini 2.5 model aims for ‘intelligence per dollar’

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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