Instinctools Company

10/15/2026

Goodfirms has updated its Leaders Matrix for custom software development, and our India team is now in the Industry Leaders quadrant!
What makes it especially nice is how the ranking works: it's built on verified client reviews, so this placement comes from our clients. We truly value this trust, and it means a great deal to us.

A bit more information about it: https://www.instinctools.com/news/instinctools-india-recognized-in-the-leaders-matrix-of-software-development-companies/

10/09/2026

On paper, OpenAI Agents SDK, Google ADK, and Claude Agent SDK cover much the same ground. Their differences become apparent when a prototype moves into production: model portability, tool permissions, orchestration, state recovery, and observability.

The SDK itself is rarely the main cost. None of the three charges a per-run fee; most of the cost comes from everything around it, including model usage, tool calls, infrastructure, and monitoring.
In a new article, we compare the three SDKs in real-world deployment and share field notes from our engineers' production work.

Full comparison: https://www.instinctools.com/blog/ai-agent-sdk-comparison/

10/07/2026

Incorrect engineering decisions made at the very beginning of a project often lead to AI visual inspection projects remaining stuck at the proof-of-concept stage for good. This happens because a model that performs well in a demo is far from always ready to deliver the same results in production.

In a new article on DEV, we use a real-world case to examine what it takes to build a defect detection system that actually works in production. In particular, we discuss choosing between an off-the-shelf AI vision platform and custom development, the eight steps of reliable inspection, and the process from dataset balancing and transfer learning to threshold calibration and MES integration.

Read the article here:

For decades, Automated Optical Inspection (AOI) served as the primary bridge between error-prone...

10/05/2026

The AI model you choose sets the ceiling for what your solution can deliver: which tasks it can handle, what data it can work with, how it performs in production, and what it costs to run. But no model leads across all of these dimensions, and a benchmark win rarely translates directly into product performance.

In a new article on our Substack, experts from the Instinctools AI Center of Excellence break down how to choose an AI model for a production solution: around a dozen criteria that narrow the field, and a nine-step process that tests candidates on your actual workload rather than public benchmarks.

10/02/2026

Everyone's an AI expert — why trust Instinctools?

The AI space has no shortage of experts, and to be fair, most of them do fine work. So we got asked a fair question: what makes Instinctools the right guide for an AI transformation?

In this clip, we explain our approach and discuss which long-postponed fundamentals now determine whether AI investments pay off, as well as why data strategies stall because of politics rather than technology.

Learn more about the workshop: https://www.instinctools.com/machine-learning-consulting-services/ai-workshop/

10/01/2026

The HR Association of India has included Dr. Diwakar Kashyap, Managing Director of Instinctools India, in the Global Leaders Powerlist 2026. The list appears in the magazine's special awards edition, where each featured leader is presented through an in-depth interview.

In his interview, Diwakar looks ahead: he expects AI to move from a productivity tool to a co-worker, with careers resting on lifelong learning instead of fixed credentials.

Congratulations, Diwakar! 👏 The full interview is on pages 23–25 of the edition: https://www.instinctools.com/news/instinctools-india-managing-director-dr-diwakar-kashyap-joins-hrai-global-leaders-powerlist-2026/

09/30/2026

Will today's AI strategy be obsolete tomorrow?

AI changes faster than most strategies get written. So what can two days of planning today be worth a year from now?

In this clip, our manager explains why predicting AI was never the goal of our workshop, what a strategy session builds so it stays relevant, and how every tool we recommend gets checked for viability before it reaches your roadmap.

Watch it before your next planning cycle.

Learn more about the workshop: https://www.instinctools.com/machine-learning-consulting-services/ai-workshop/

09/29/2026

GPT-4o solves 86.6% of tasks on Spider, the classic text-to-SQL benchmark. On Spider 2.0, which tests real enterprise analytical workflows, the same model manages 10.1%. The distance between plausible SQL and reliable analysis is where agentic analytics projects either succeed or quietly produce confident miscalculations.

In a new blog article, our AI Lead Engineer Ivan Dubouski explains what closes that distance: the four-layer architecture behind trustworthy analytics agents, from data and context up to governance, plus the practices our AI Center of Excellence applies in client projects.

The full article is at the link: https://www.instinctools.com/blog/agentic-analytics/

09/28/2026

Most companies experimenting with AI end up in one of two places. Some integrate AI into their workflows and scale it into measurable business value. Others launch a few promising pilots and never move past them. What separates the two outcomes is usually a gap in strategy or expertise.

Closing that gap is what our AI Adoption Workshop was built for, and the idea raises fair questions. Why invest in a workshop when that money could go directly into AI tools? What can two days realistically deliver? How do you keep a strategy relevant when new AI tools ship every week? And what about resistant culture, technical debt, and job displacement concerns?

Instinctools answers the questions we hear most often, including the uncomfortable ones.

💡 Learn more about AI adoption workshop: https://www.instinctools.com/machine-learning-consulting-services/ai-workshop/

09/24/2026

Requests arrive by email, updates are shared on Teams and documents are stored in SharePoint. Each tool works fine on its own. It's the space between them that causes problems.

Our new video shows how an AI operating layer closes it, connecting those systems into a single governed workflow built on GENiE, our AI accelerator, where several agents share one business context and people approve every important decision. The case on screen, a fast-growing US professional services company, got back around six hours per employee per week.

Read more about GENiE: https://www.instinctools.com/multi-agent-framework/