TechBlocks (@TechBlocks) header
TechBlocks (@TechBlocks) profile picture

We engineer the platforms the world runs on.

Toronto, Ontario
Joined April 2009
Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)Photo by TechBlocks (@TechBlocks)
馃幀Ladies and Gentlemen, you're not ready for this! Let鈥檚 make some noise for the TechBlocks India crew in action...馃槑馃獢 #Diwali2026 #Dhanteras #DhanterasWishes
14
馃幀#LifeAtTechBlocks: Beginning our November employee spotlight series, highlighting Kusum Joshi, Technical Lead, Engineering at TechBlocks. Ready to switch careers and join a fast-growing team that works hard and plays even harder? Apply at the link: lnkd.in/egQHjTTK
12
Trick or Treat: What are you choosing this Halloween? 馃懟 馃懟 馃懟 Learn how TechBlocks builds your software with AI-native engineering pods and proves what the AI actually delivered: bit.ly/4yVG19h馃崿#spookysats
馃 Made with AI
30
馃幀 #LifeAtTechBlocks: Featuring what a typical day in the life of our Program Manager, Srikanth Mylavarapu looks like at TechBlocks. Ready to level up your career? Join the TechBlocks team and let鈥檚 start building together. bit.ly/4zWCzMh
14
True business transformation requires more than AI tools. At @MyTotalRetail, @PrashantTweeted explored why rising #AI investment in retail isn鈥檛 translating into measurable software delivery improvements. 馃憠Full report in The Agentic Retail Imperative. bit.ly/3VJltTx
15
AI shopping agents skip products with messy data. Your catalog isn't uncompetitive, it's invisible. Leaders are moving to a "golden catalog": semantic attributes, automated supplier ingestion, validation before AI sees errors. More in the full report 馃憞 bit.ly/3VJltTx
12
馃洅For #retail leaders, the hard part isn't launching a conversational experience. It's making sure the architecture underneath can give AI accurate, contextual, trustworthy information to work with. More in The Agentic Retail Imperative report 馃憠 bit.ly/47iWLMh
9
Key takeaway from @ItronInc Inspire 26. Meter data management is evolving beyond meter-to-cash into a connected data foundation supporting operations, planning, analytics and customer service. Which team in your utility could do more with the meter data you already collect?
1
24
0/6 馃洅3 days at @MyTotalRetail 2026. 6 key learnings. 1 clear pattern. AI is no longer an emerging capability. The future belongs to retailers that can learn, adapt, and operationalize AI faster than the market changes.
1
30
5/6 Tools alone don鈥檛 create value. AI Orchestration and operating models will. The organizations winning with AI are moving to operating models powered by connected data, governance, and intelligent agents working as one.
1
10
6/6 Which brings us to a clear pattern across all 3 days: Retail transformation is no longer a project with a fixed end state. Want the full breakdown? Download the full report, 馃摜bit.ly/3VJltTx #AgenticAI #Retail
8
Customer experiences are evolving faster than the data, systems, and delivery models.馃洅 Today we're releasing 饾棫饾椀饾棽 饾棓饾棿饾棽饾椈饾榿饾椂饾棸 饾棩饾棽饾榿饾棶饾椂饾椆 饾棞饾椇饾椊饾棽饾椏饾棶饾榿饾椂饾槂饾棽, on what leading retailers are doing differently. 馃摜Download the full report: bit.ly/3VJltTx
23
A week from today, Sean Bredin, from our Energy and Utilities practice will be in Houston for @ItronInc Inspire. Sean will discuss how utilities are turning the data they already have into actionable intelligence they can defend. See the full agenda: tinyurl.com/yfb8ns2m
1
21
鈿欙笍A #GCC can be highly efficient and still leave significant value on the table. See how TechBlocks combines AI-native CoEs, AI-augmented pods, automation, and modern engineering practices without relying on headcount as the primary growth lever. bit.ly/4722OET
1
20