Draft:Tekstac
AI skills development platform
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[[Category:AfC submissions by date/<0031Tue, 24 Mar 2026 07:15:00 +0000202637 2026-03-24T07:15:00+00:00Tuesdayam0000=error>EpTue, 24 Mar 2026 07:15:00 +0000UTC00001520263 UTCTue, 24 Mar 2026 07:15:00 +0000Tue, 24 Mar 2026 07:15:00 +00002026Tue, 24 Mar 2026 07:15:00 +0000: 17743365003Tue, 24 Mar 2026 07:15:00 +0000UTC2026-03-24T07:15:00+00:002026731582UTC24 pu32026-03-24T07:15:00+00:0031uam311520263 2026-03-24T07:15:00+00:0007amTue, 24 Mar 2026 07:15:00 +0000am2026-03-24T07:15:00+00:0031UTCTue, 24 Mar 2026 07:15:00 +0000 &qu202631;:&qu202631;.</0031Tue, 24 Mar 2026 07:15:00 +0000202637>March 2026|Tekstac]]
Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. RtrThiru (talk) 07:15, 24 March 2026 (UTC)
Submission declined on 24 March 2026 by Pythoncoder (talk).
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Tekstac is a SaaS-based skills development and skills intelligence platform aimed at workforce upskilling and talent transformation, particularly within the information technology (IT) and Global Capability Centers (GCC) sectors. The company is headquartered in Coimbatore, Tamil Nadu, India, and was founded in 2017 by Vengatesh CR.
History
Tekstac was established in 2017. The platform has been covered in industry publications including ETHRWorld[1] and People Matters[2] in the context of enterprise learning and development, and the role of artificial intelligence in talent transformation.
Platform
Tekstac provides an integrated digital environment for technical skill development. According to coverage in ETHRWorld[3] and Forbes[4], the platform includes tools for skills assessment, practice labs, automated evaluation of coding tasks, mentor marketplace and skills intelligence. It also incorporates AI-based proctoring and provides curated learning pathways and integrations with leading content providers.
Additional features reported in industry coverage include gamification elements such as badges and leaderboards, and AI-driven feedback mechanisms for technical tasks.

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