Kazakh startup PanDev Metrics closes seed round to measure AI's real impact on coding

What's the deal? Almaty-based PanDev Metrics has closed a seed round for its Engineering Intelligence platform, which measures the real business impact of AI on software development. Investors will be named later. The startup counts 20 clients, including Halyk BankDealroom has a profile for this one. Try Dealroom →, Prosper PayDealroom has a profile for this one. Try Dealroom →, BiometricDealroom has a profile for this one. Try Dealroom →, and PlatonusDealroom has a profile for this one. Try Dealroom →.

What's the endgame? The platform pulls data from Git, development environments such as JetBrains, Jira, and AI tools, then shows managers DORA metrics, task costs, bottlenecks, and how teams actually use AI. It runs on the client's own infrastructure, so code and work data stay in-house — often a requirement for banks and large firms.

The core idea: judge AI by business results, not by how much code it generates. "The share of AI code shows tool usage, but on its own it doesn't prove a productivity gain," said co-founder and chief executive officer Madiyar Bakberenov (translated from Russian). He added that AI speeds up writing code, but review, testing, and approvals can wipe out the gain, so the platform tracks the full task cycle, including the cost of the AI tools themselves.

Who's behind it? PanDev Metrics was founded in Almaty in 2024. Bakberenov previously worked at CHOCO and co-founded KwaakaDealroom has a profile for this one. Try Dealroom →; founder and chief technology officer Artur Pan is a former engineer at Kaspi Magazin and V.Life. The company is part of the NVIDIA Inception program for AI startups.

Where next? Sales growth is the top priority after the round. PanDev is expanding internationally — targeting Central Asia, MENA, Turkey, and Latin America — while deepening work with banks and corporate clients. It is seeking local distributors, integrators, and partners to help with sales and rollout in those markets.

The signal: As companies pour money into AI coding tools, they increasingly want proof the spend translates into faster, cheaper, more stable delivery. PanDev's bet is that the next question for software leaders isn't how much AI writes, but whether it pays off.

Read more: bitpress.kz

Image credit: EU-Ukraine cooperation