Let software do the repetitive work.
Teams that prepare the same spreadsheet every day, sort the same emails or produce content in the same format spend most of their time on work that doesn't create value. Much of that work can now be automated reliably.
We use AI for measurable business outcomes, not as a showpiece: extracting structured data from requests written in plain language, automating a content pipeline or producing reports on their own. Every automation keeps a human approval step where it matters.
Mallow Studio integrates AI and automation into business processes, building solutions such as data extraction from natural language, content and video pipelines and report automation — with human approval steps where they're needed.
- Structured data from natural language
- Content and video production pipelines
- Report and notification automation
- Safe flows with human approval
What we deliver
Automation discovery
We measure how long each task takes and its automation potential.
AI integration
We connect large language models to your existing systems.
Data extraction
Structured records from emails, forms and documents.
Production pipelines
Content pipelines covering script, voice, visuals and editing.
Approval steps
Human review and logging for critical outputs.
Monitoring
Tracking cost, errors and quality.
A video pipeline that runs itself
From script to publishingOur video automation writes a script with AI, produces the voice-over and subtitles, picks stock footage, edits a vertical video and uploads it to YouTube, Instagram and TikTok. It runs entirely on your own computer, without external automation tools.
- Script → voice-over → edit → publish
- 1080×1920 vertical output
- Scheduled automatic runs
Type a sentence, the system understands
From natural language to criteriaOn the sourcing platform we built, users describe what they need in free text; the system pulls out quantity, material, tolerance and lead time and turns them into criteria for supplier matching.
- Structured fields from free text
- Clarifying questions for vague requests
- Explainable output for records and audits
Work in this area
Web application · Concept designSaaS Analytics Dashboard
Web application · Concept designB2B Dealer Portal
Mobile app · Concept designOrdering & Delivery App
- Python
- Claude API
- edge-tts
- ffmpeg
- FastAPI
- Node.js
- Scheduled jobs
Frequently asked questions
Which tasks are good candidates for automation?
Tasks with clear rules that repeat often and whose results can be checked: data entry, document classification, reporting, drafting content and sending notifications. In the discovery call we review your processes with this lens.
What if the AI produces wrong information?
That's why we add human approval to critical outputs, make sure the model works only with the sources you provide, and log every output. Automation is built to speed control up, not remove it.
Is our data shared with third parties?
We state the data policy of the AI service used in each project. For sensitive data we prefer anonymisation, services with enterprise data-protection terms or solutions running on your own servers.
How is the cost of automation calculated?
Development cost plus, where relevant, the AI service's usage fees. During discovery we estimate the monthly usage cost and the hours you'll save together.
Have an idea or a project? Get in touch!
We're here. Tell us about your idea and we'll show you how to bring it to life — the first call and the quote are free.