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Latest

Why 78% of AI Support Pilots Never Reach Production?

26 Aug \u00b7 Ai solution, Business, Startup

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Dextra Labs in News

Stay updated with our most recent announcements, achievements and industry recognitions. Explore how Dextra Labs is creating headlines in the tech world and creating an impact.

Featured Posts
17 Dec, 2024
Dextra Labs wins big: consecutive industry tech awards
28 May, 2024
Dextra Labs recognised in a global spring awards programme

We build AI that works beyond the demo in production, for real businesses.

Latest Blogs

Seamlessly navigate the fast-changing technology landscape with the latest insights, industry tips and expert analysis from the Dextra Labs team.

AI Transformation is a Governance Problem, Not Technology
Ai solution
Abhinav Srivastava

AI Transformation Is a Problem of Governance, Not Technology [2026]

AI transformation is a problem of governance, not technology, because deploying capable AI models is easier than controlling how they access data, make decisions, and execute actions. Enterprises need enforceable runtime controls, clear accountability, lifecycle oversight, and continuous evaluation to scale AI securely and reliably.

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AI Startup Technical Due Diligence
Ai solution
Abhinav Srivastava

AI Startup Technical Due Diligence: What Investors Must Verify Before Investing

  • AI startup technical due diligence helps investors determine whether AI creates a genuine business advantage, not just whether a company uses AI. KPMG reports that 78% of dealmakers say AI is changing their M&A assessment criteria, while PwC describes a shift from investment thesis to revenue test.
  • Tech due diligence for AI companies examines model performance, proprietary data and IP, third-party model dependencies, production readiness, security, and unit economics. The goal is to distinguish durable technical assets from rented capabilities and validate claims with evidence rather than demos.
  • Data provenance and ownership matter. Unclear rights or improperly sourced training data can create legal exposure and, in serious cases, leave a model or other technology asset unusable.
  • Technical findings should inform investment decisions. A rigorous review helps investors assess valuation assumptions, identify remediation costs, negotiate deal protections, and prioritise post-investment improvements.
  • The key question is whether the technology supports the valuation. Dextra Labs helps investors, VC and PE firms, and acquirers evaluate AI-related technical risks before committing capital.
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    Ai solution
    Kunal Singh

    GPT-6 Astra vs GPT-5.6: What Actually Changed for AI Development?

    GPT-5.6 Sol remains an excellent production model. GPT-6 Astra doesn’t obsolete it, it expands what developers can realistically delegate to AI, particularly across long-running, multi-step, tool-using, and computer-operating workflows. The right question isn’t “which is better” but “which work justifies which model.”

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