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iTuring.ai, Pristyn Care, and Olto Raise Funding for Growth

iTuring.ai, Pristyn Care, and Olto Raise Funding for Growth

Entrepreneur24-07-2025
The below brands have announced their latest funding rounds.
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iTuring.ai Secures USD 5 Mn to Expand AI Platform for BFSI Sector
Bengaluru-based enterprise AI firm iTuring.ai has raised USD 5 million in a Series A funding round led by Dallas Venture Capital and Mela Ventures. This follows a prior investment of USD 1.19 million in the same round from SenseAI and Pentathlon Ventures, with additional support from Ghosal Ventures.
Founded in 2018 by Suman Singh, Amit Kumar, Mohammed Nawas, and Srivalsan Ponnachath, iTuring.ai offers a proprietary, zero-code platform tailored to the needs of the banking, financial services and insurance sector. The startup plans to use the funds to accelerate the rollout of this platform, which enables institutions to automate each stage of data science and machine learning processes.
"Our vision from day one was to empower financial institutions to automate the full lifecycle of AI model development, deployment, and governance with a transparent, explainable, and audit-ready solution," said Suman Singh, founder and CEO of iTuring.ai.
iTuring.ai's platform addresses the complex regulatory and operational requirements of the BFSI industry. It integrates automation across data preparation, model development, deployment, and ongoing monitoring within a single, compliant framework.
The platform currently serves clients in India, South Africa, and the United States. In the US, it has formed a strategic alliance with a leading global payment platform to support revenue growth and reduce operational costs.
Clients in the BFSI sector have reported faster project execution and a notable decrease in manual work, along with measurable improvements in predictive accuracy, according to the company.
Pristyn Care Bags USD 4 Mn to Expand Hospital Network
Pristyn Care, a healthcare provider focused on surgeries, has raised USD 4 million in a new funding round aimed at expanding its owned hospital network. The investment comes from existing backers Peak XV Partners and Hummingbird Ventures, according to company sources and regulatory documents reviewed by Entrackr.
The company's board recently approved the issue of 34,280 Series E1 compulsorily convertible preference shares at a price of INR 10,038.16 each. This share price matches the previous round, indicating that Pristyn Care's valuation remains unchanged.
This funding is part of a broader plan, as the company is reportedly in discussions to raise up to USD 100 million from both new and current investors. To support future fundraising and expansion, Pristyn Care has increased its authorised capital.
In recent months, the company has opened eight new hospitals, bringing its operational footprint to around 200,000 square feet with approximately 450 beds. The firm plans to double this capacity by December 2025 with more than 10 additional hospitals in the pipeline.
For the fiscal year ending March 2024, Pristyn Care reported a 30 percent rise in operating revenue to INR 600 crore. Losses for the period remained stable at INR 381 crore.
AI Startup Olto Raises USD 5.1 Mn
San Francisco-based AI startup Olto has secured USD 5.1 million in a pre-seed funding round led by Nexus Venture Partners and The General Partnership. The round also drew participation from Afore Capital, Recall Capital, Ligature, FirstHand, and several prominent founders and technology leaders.
Olto aims to streamline the B2B sales process by using artificial intelligence to automatically generate context-aware demo environments and interactive product tours. Its platform enables sales teams to deliver tailored experiences across live calls, outbound messages, and inbound leads, eliminating the need for manual setup.
The company was founded by former Amazon executives Kintan Brahmbhatt and Jean-Baptiste Chaput, along with founding engineer Pranav Midha. Brahmbhatt, who co-founded Amazon Music and led Amazon's podcasting division, is also known for co-inventing Prime Video's X-Ray feature.
"At Amazon, we pioneered just-in-time personalisation to change the way consumers engage with media," said Brahmbhatt, who now serves as Olto's CEO. "With Olto, we're bringing that same magic to B2B software."
Olto's AI-native platform integrates directly with customer relationship management systems and live products, enabling teams to create highly personalised demos. According to the company, the platform reduces demo preparation time by up to 80 percent while increasing conversion rates.
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Even when trained on broad data sets, their output is shaped by the way developers fine-tune them, the sources that are allotted a higher trust weightage, and the rules they follow for safety. If Truth AI is going to pitch itself as a free-speech-oriented tool on a free-speech-first platform, it was worth seeing if its partnership with Perplexity meant it inherited the same ground source of truth and guardrails. Truth AI vs Perplexity Pro: Where do they line up Dhruv Bhutani / Android Authority The first step was to see how each handled simple, fact based questions where the answers should be cut and dry. I started with this year's Wimbledon. When asked who won the men's single title this year, I wanted to see if the AI models would accurately determine the year instead of falling back on an earlier training dataset, and also give me the correct answer. Predictably, both Truth AI and Perplexity Pro gave me the right answer. The difference was in the presentation. Perplexity Pro consistently offered more context and data. While Truth AI's take on the answer was fairly curt and to the point, Perplexity Pro took me through the scores, gave me background context, and even gave me information on the length of the match. Dhruv Bhutani / Android Authority Next was a comparison between Starlink and Project Kuiper. My reasoning behind the question was simple. Descriptive questions and knowledge-seeking are one of the key use cases of AI models. With users replacing search for ChatGPT, and using these tools to inform themselves and even making purchase decisions, a versus-style question made sense. Both tools gave me a broad range of information, explaining the technology and, history of both companies. The tools also went ahead and gathered information on the commercial plans offered by Starlink. Perplexity Pro, however, painted a fuller picture with details on satellites in orbit, projected timelines for Kuiper, and an easy-to-understand sheet of all the differences between the two. Broadly speaking, while the two were matched in information density, Perplexity Pro is what I'd turn to inform myself. Where things get interesting Dhruv Bhutani / Android Authority With the basics out of the way, I started digging a bit deeper. I wanted to see how each handled more complex questions. Especially the kind of questions where factual statistics exist, but there is still ample room for interpretation and bias. I began with the latest findings on the environmental impact of electric vehicles compared to petrol cars. While I was confident that both Truth AI and Perplexity Pro would be able to present me a laundry list of reports, I wanted to see how they'd perform as research tools. As expected, I got a rundown of data in the first pass. Truth AI listed reduced tailpipe emissions, potential reductions in greenhouse gases if charged with renewable energy, while Perplexity Pro gave me a more expansive answer detailing manufacturing footprints, grid dependency, and more. Exactly what I expected. Truth AI's lack of conversational memory makes it feel like a one-question-at-a-time search engine. The real difference emerged when I pushed for more insight and a clear summary of the findings. This is where Truth AI started faltering. Despite multiple attempts, Truth AI was unable to contextualise a prior search query and summarise it. In fact, it specifically asked me to copy and paste the previous answer to generate a summary, indicating that it was treating it as a separate chat. Perplexity Pro, on the other hand, picked up right where it left off. The inability of Truth AI to engage in conversational depth was a noticeable limitation, especially for users who expect to use these tools for research and interlinked learning. The sourcing problem Dhruv Bhutani / Android Authority Next, I decided to push both Truth AI and Perplexity Pro with questions that left room for interpretation. I asked both tools to assess the major successes and criticisms of the previous US administration's economic policies since 2021. Here, I wanted to see not just the answers, but also where the answers were coming from. The answers themselves were not particularly surprising, with an equal listing of successes and possible failures. What was more interesting, however, was the breadth and depth of sources presented to users. Perplexity Pro referred to as many as 20 different sources, including major news publications like the New York Times, Bloomberg, as well as research from the University of California, Santa Barbara, in addition to Wikipedia, among others. That reflected in the answer with a relatively even summary pointing at economic growth, a strong job market, as well as debates around long-term fiscal sustainability. 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Truth AI leans heavily on a very narrow set of data sources. Interestingly enough, both tools gave fairly similar answers. Perplexity Pro pulled from multiple polling aggregators, explained the difference between ratings, and contextualized the ratings. Truth AI's analysis matched Perplexity Pro's analysis, despite getting approval ratings significantly off. This, despite a much more limited number of sources, four of which were Fox News. Truth AI vs Perplexity Pro: It's a matter of context After putting Truth AI and Perplexity Pro through the same set of questions, the results speak for themselves. On simple fact-based queries, both handled the job without much trouble, though Perplexity Pro consistently offered more context, more data, and a smoother narrative. When the questions got more complex and required building on previous answers, Truth AI's limitations became clear. The lack of conversational memory makes it feel less like a research assistant and more like a one-question-at-a-time search engine. Both Truth AI and Perplexity can reliably answer questions, but only one can help you deep dive into a subject. The sourcing gap is even harder to ignore. Perplexity Pro pulled from a much wider range of outlets, studies, and data sources, making it feel like you were getting a balanced and nuanced snapshot of the topic. Truth AI, while capable of giving correct information, leaned heavily on a narrow, often ideologically consistent set of sources. This does not automatically mean the answers are wrong, but it does mean they risk being incomplete, especially in politically charged contexts where perspective matters as much as raw data. Let's be clear. I doubt anyone is replacing ChatGPT or Google Gemini with Truth AI. But if you want quick answers in the Truth Social ecosystem, Truth AI is a convenient addition. If your goal is depth, a much deeper and broader perspective, and the ability to dig deeper into the topic with follow-ups, Perplexity Pro or any of the other full-featured AI tools will hands down be the better choice. Don't want to miss the best from Android Authority? Set us as a preferred source in Google Search to support us and make sure you never miss our latest exclusive reports, expert analysis, and much more. Follow

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