Kive

Kive sits between asset-management and generative tooling — teams ingest existing brand assets, search them with vision-aware AI, and generate new on-brand visuals in the same canvas. Targets enterprise creative teams that need consistency and IP control rather than free-form generation.

One of the few creative-AI tools built around enterprise-grade brand consistency and IP control rather than generic prompt-to-image, making it relevant to studios and in-house brand teams.

kive.ai Creative Suites & Workflows

Swedenprivate

At a glance

Total raised

$8.8M

last round seed

Headcount

11-50

approximate · public range

Headquarters

Stockholm

Sweden

Founded

2020

6 years active

Status

Private

Creative Suites & Workflows

Latest valuation

$35M

Seed · 2022

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Funding history

Total raised

$8.8M

Rounds tracked

Latest stage

Seed

Latest valuation

$35M

Date	Stage	Amount	Valuation	Lead investors
Oct 10, 2022	Seed	$7M	—	Heartcore Capital
Dec 15, 2020	Seed	$1.8M	—	EQT Ventures, Creandum

Founder backgrounds

Olof Lindh

Founder & CEO

Studied at Berghs School of Communication in Stockholm before establishing a career directing commercials and music videos, including work across production companies B-Reel Films, Iconoclast, Fresh Face, and Tempomedia. In 2014 received Sweden's prestigious Kycklingstipendium award for top emerging creative talent. Founded Kive in 2018 as a film director with passion for technology, building the beta product himself on nights and weekends. Distinguishing trait: a relentless shipping mindset—"too busy shipping to bother coming up with something better," eliminating meetings during the week to preserve focus time for AI-driven development.

AI bull / bear

Bull case

Kive is attacking a real pain point in enterprise creative workflows: brand consistency at scale. While consumer generative-AI tools optimize for novelty, Kive's vision-aware asset search and on-brand generation address the needs of studios and in-house teams that must protect IP and maintain visual coherence across campaigns. This positions the company in a defensible niche where competitors like Midjourney or DALL·E lack enterprise-grade controls. The product sits at the intersection of DAM (digital asset management) and generative tooling, potentially displacing legacy systems like Bynder or Widen while offering creative acceleration that static libraries cannot. If Kive can embed itself as the single source of truth for brand assets and derivative generation, it builds switching costs and recurring revenue from teams that treat it as mission-critical infrastructure. Early traction with brand-sensitive customers—fashion, CPG, media—would validate willingness to pay for IP control and set the stage for rapid expansion across verticals hungry for compliant creativity.

Bear case

Kive operates in a crowded, fast-moving space where incumbents and well-funded challengers are all racing to add generative features. Adobe already owns the creative suite and is layering Firefly into Photoshop and its DAM offering; Canva raised billions and is pushing enterprise with brand kits and AI design. Without disclosed funding or customer traction, it's unclear whether Kive has the capital or distribution to compete against these giants. The wedge—brand consistency and IP control—may prove too narrow. Enterprises often prefer to extend existing toolchains (Adobe, Figma, Monday.com) rather than adopt point solutions, especially when IT and legal teams require extensive vetting. If Kive cannot demonstrate clear ROI or integrate seamlessly with established workflows, adoption will stall. Furthermore, the lack of public funding history raises questions about runway and velocity; in a winner-take-most market, slower execution risks commoditization as model quality converges and differentiation erodes.

Generated by claude-sonnet-4-5-20250929 · May 1, 2026Refreshes quarterly · see disclosures

In the news

Kive · last 30 days

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Leadership

Olof Lindh

Founder & CEO

in 𝕏

Products

Product Shots
AI-powered feature that generates studio-quality product photography on-brand visuals. Users upload product images, and Kive trains custom AI models to generate campaign-ready product shots in various studio environments. Supports batch generation across entire product catalogs, e-commerce product integration, and maintains brand consistency through reusable presets. Designed for e-commerce brands, fashion retailers, and product-focused marketing teams.
Moodboards & Stories
Collaborative visual planning tools for ideation and presentation. Users create mood boards by gathering inspiration and assets from Kive's library or external sources, then organize them into shareable visual narratives. Stories feature enables lightweight presentations for pitching concepts, campaign walkthroughs, and client feedback without switching to external tools. Built for creative teams, agencies, and brand managers.
Smart Library
AI-powered digital asset management system that automatically organizes and tags uploaded visual content without manual input. Users search using natural language queries across objects, emotions, lighting, colors, and styles instead of relying on file names or manual tagging. Enables real-time team collaboration with commenting, versioning, and iteration. Serves creatives managing visual archives at scale.
AI Generation Studio
Text-to-image and image-to-video generation engine integrated into Kive's workflow. Leverages best-in-class AI models like Google's Veo 3 and Kling 2.1 for creating lifestyle imagery, campaign concepts, and video content from text prompts. Maintains brand consistency through prompt sharing and preset management. Designed for agencies, content teams, and brands creating diverse visual assets.

Open roles

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