Recently, we organized a Blood Donation Drive at Maruti Techlabs, bringing our team together for a cause that can help save lives. Initiatives like these remind us that meaningful change begins when we come together for a cause that matters.

What if lawyers could spend less time coordinating tasks and more time on legal work? Agentic AI streamlines workflows, reduces repetitive tasks, improves access to information, and gives lawyers more time for strategy. Read the full blog: marutitech.com/agentic-ai-le…

28% of organizations have faced unauthorized AI actions, yet only 47% have clear AI governance & controls. Responsible AI starts with engineering, not policies alone. Build in data security, access controls, testing, & monitoring from day one. Explore: linkedin.com/feed/update/urn…

A little music, a lot of good vibes, and a room full of people who know how to make every moment better!✨ Here’s a glimpse of our jamming session at Maruti Techlabs, where good music and great company make the perfect combination!💛

In this episode of 10 out of 10, Sagar Shah, UI/UX Lead at Maruti Techlabs, shares his perspective on designing for AI, from handling unpredictable outputs to deciding what to automate and how to build user trust. Watch the full video below.

Today, we celebrate 17 years of Maruti Techlabs.🎉

In your experience, which observability maturity stage is your team in right now? See how Maruti Techlabs helped an automotive enterprise cut observability costs by 83% while expanding cross-team visibility. Read the case study to learn how: marutitech.com/case-study/ne…

OpenTelemetry is making observability more open. As telemetry becomes standardized, competitive advantage is moving from data collection to analytics, incident intelligence, and AI-driven operations. Read the full article. linkedin.com/pulse/opentelem…

More AI agents do not always mean better AI. Research shows that adding agents can increase compute without improving performance. Before adding another agent, ask: • Can one stronger agent do the job? • Are roles clearly defined? • Is every handoff verified?

LLM token costs can be just 30–60% of the real production cost. Retries, embeddings, evaluation, infrastructure, and human review can add up fast. The real question: What does your AI feature cost at scale? Check out: marutitech.com/services/gene… #GenerativeAI #AI #LLM

We’re hiring at Maruti Techlabs. If you trust your expertise and enjoy owning what you build, this might be for you. Explore our open roles and apply here: lnkd.in/g7tVEJ4B Let’s build things that actually get used.

We think we just found our favorite way to spend a Friday. We jammed at Maruti Techlabs, invited a professional guitarist to set the vibe, and let the music take over. Good music, great energy, and a Friday well spent.

An AI agent can plan, reason, use tools, and take action. But what should we look for before trusting it with real business workflows? So, swipe through to see. #AgenticAI #AI #GenerativeAI #AIAgents #EnterpriseAI #AIEngineering

In the next episode of our 10-out-of-10 series, we’re putting the spotlight on AI in LegalTech. Our Data Scientist, Dhara Solanki, shares her perspective. Watch below to hear her insights.

AI is making decisions across lending, hiring, fraud detection, and healthcare. But many models still operate like black boxes. Explainable AI helps organizations understand what drives predictions, making AI easier to validate and trust. Read here: marutitech.com/explainable-a…

In our latest conversation, Maulik and Darshan explore where AI is making an impact today and what comes next for syndicated lending. Watch the full conversation: youtu.be/c92yzVc8z9A #AI #SyndicatedLoans #FinancialServices #Lending #FinTech #AIinFinance

Nowadays, most of our work happens around screens. With hours spent reading, creating, and collaborating, we can easily overlook eye health. Recently, we hosted an eye camp, giving our employees a chance to pause, get their eyes checked, and focus on their well-being.

Trump wants U.S. government documents to call AI “Super Intelligence,” saying “artificial” makes intelligence sound fake. But “superintelligence” already has a specific meaning in AI research. So, as AI becomes more capable, does “AI” still describe what it is becoming?

In your experience, which stage of a contextual AI pipeline is hardest to get right? Read the complete article to understand how contextual AI differs from traditional machine learning: marutitech.com/contextual-ai…