We've already fixed one production bottleneck
Kopla comes from the makers of Vev. Different problem, same instinct: when developers or designers become the bottleneck, remove it rather than push them harder.
Nikolay
Tine
The origin story
In 2017, Tine Karlsen and Nicolay Thafvelin started Vev to give creative teams a way to build ambitious, interactive content. Without being boxed in by a template or waiting on a developer to build, the platform now runs some of the most creative work enterprise teams publish, including a 50x increase in engagement for Pfizer and 90% faster time-to-market for Schibsted.
increase
in engagement
Reduced
time to market
Kopla was born out of watching completely different teams hit a completely different wall: GTM and bid teams who don’t need creative range, but do need volume, speed, and brand governance. A sales rep needs a proposal day-of, priced and on-brand, not a bespoke campaign next quarter. A bid team needs the same document rebuilt correctly for the fifth account this week. That’s not a creativity problem. It’s all about production and iteration.
⚡ Volume — Scale document creation without starting from scratch.
🚀 Speed — Proposals delivered day-of, not next quarter.
🛡️ Brand Governance — Always priced correctly and on-brand.
Volume — Scale document creation without starting from scratch.
Speed — Proposals delivered day-of, not next quarter.
Brand Governance — Always priced correctly and on-brand.
The origin story
In 2017, Tine Karlsen and Nicolay Thafvelin started Vev to give creative teams a way to build ambitious, interactive content. Without being boxed in by a template or waiting on a developer to build, the platform now runs some of the most creative work enterprise teams publish, including a 50x increase in engagement for Pfizer and 90% faster time-to-market for Schibsted.
Kopla was born out of watching completely different teams hit a completely different wall: GTM and bid teams who don’t need creative range, but do need volume, speed, and brand governance. A sales rep needs a proposal day-of, priced and on-brand, not a bespoke campaign next quarter. A bid team need the same document rebuilt correctly for the firth account this week. That’s not a creativity problem. It’s all about production and iteration.
This needed a new solution, not a feature bolted onto a tool built for something else.
The problem we think matters
right now
Every GTM team has AI now; just using it isn’t a differentiator anymore. Most have also learned the hard way that having AI isn’t the same as being able to trust it.
Kopla is built to close that gap. Not generating content, but keeping a growing pile of it on-brand and accountable without turning marketing into an engineering problem.
Set your brand once, and it stays locked. Anyone on the team can edit the copy for their deal or their account, nobody can drift off-brand doing so. As for what you need from where you work (Slack, Claude, Teams), and know nothing ships without the sign-off your team requires.
Problem 1: Teams end up building elaborate systems just to keep an agent inside the brand rules, and sometimes it ignores them anyway.
Problem 2: Once something ships, nobody can easily say who approved it.
Wordpress
Amplitude
Sanity
Notion
Mixpanel
Salesforce
Segment
Figma
Google analytics
Zoho
Posthog
Hubspot
Contentful
Chat GPT
Claude
Slack
Copilot
Teams
Locked brand, compounding results
Plenty of tools generate a first draft. Kopla reviews how a published asset actually performs and proposes a sharper version, so the third, fourth, and fiftieth sales deck or ABM page outperforms the first. All without anyone manually digging through analytics, and without the brand ever being broken.
That’s where we think this is heading: not more AI, but a system that keeps AI-generated content on-brand and accountable at a pace no design team can hand-hold.
Publish — Ship on-brand pages and assets instantly without design bottlenecks.
Analyze — Track how content performs live without manually digging through data.
Auto-Refine — Automatically generate stronger iterations that outperform the original.
We’ve solved one production bottleneck before.
Now we’re solving yours