About
A strategic technology firm for the AI-era IT organization.
Tech Teiv was built around a specific bet: that the firms that helped enterprise IT through the cloud era are largely the wrong shape to help it through the AI era. The work is too strategic for the body-shop integrators and too operational for the slideware consultancies. It needs senior judgment paired with current hands-on capability, and the willingness to keep the team small enough that the judgment is actually heard.
We focus on financial services, where the questions are sharpest and the constraints are clearest, but the discipline travels. Our clients are IT leaders inside banks, insurers, asset managers, and fintechs (and increasingly inside regulated firms in adjacent industries) who need to figure out the AI question for their organization without betting the franchise on a vendor pitch.
What we believe
AI is restructuring how engineering work happens, how the architecture absorbs decisions, how portfolios make themselves legible, and who an IT organization should be hiring next. These are not parallel tracks: they are four faces of the same shift. We help our clients see them together and act in the right order.
We also believe that most of what is wrong with the IT services industry is structural. Vendors get rewarded for scaling people, not for solving problems. Engagements are sized for the seller, not the buyer. Senior partners pitch the work and then vanish into the org chart. Our model is built to invert each of those defaults, deliberately, and at the cost of some growth ceiling. The trade-off has been worth it.
Founder
Tech Teiv was founded by Qanit Al-Syed, who spent fifteen years across US and Asia-Pacific markets inside a Fortune 100 insurance carrier, most recently as Regional IT Director for Asia-Pacific, and before that as a sub-region CIO running a USD 600M+ operation with engineering teams of approximately 200. His substantive work over the last several years centered on enterprise AI-SDLC adoption, legacy modernization in regulated environments, and engineering operating models across multiple jurisdictions.
Education: MSc Islamic Finance, INCEIF University, Malaysia (2025); MS Software Engineering, Harvard University (2019); BS Electrical Engineering, University of Michigan (2010).
The wider bench
Beyond the founder, the firm operates through a curated network of fractional CIO/CTO operators, founders of AI-forward platforms, and current AI engineers, assembled into lean teams to fit each engagement. The bench grows by referral and reputation, not by recruiting funnels.
Where we are
We are based across Chicago, Singapore, and Kuala Lumpur. Most engagements are hybrid: senior partners traveling to client sites for the moments that matter, the rest of the work happening across time zones with deliberate cadence.