Overview
IndieStudio is an AI consultancy and product studio with its headquarters listed in Brussels. It describes its work as designing AI systems around how a business already operates and turning high-friction workflows into software. The services are grouped into workflow automation, product systems, AI operations and delivery support, and the company builds around the tools and data a client already uses, including CRMs, Google Workspace, databases, APIs, dashboards and custom internal software. The stated engagement sequence runs from framing the operational problem, to tracing the people, tools, data, decisions, approvals and exceptions in a workflow, to building the smallest reliable system that removes the friction. Alongside client work, IndieStudio publishes 16 case files spanning flagship products, B2B and enterprise tools, developer tools and productivity software. VoxChimp is a macOS voice-to-text app at production stage, with a Pro tier at 7.99 US dollars per month or 59.99 US dollars per year after a 30 day trial. Kuratd transcribes podcast episodes on device using WhisperKit and generates briefs, with a macOS app described as App Store ready. Platd is a recipe app built around cooking completion. Other listed projects include Tell Me a Story, Dolly, FuelSync, Deal Broker, Flowline, DataCrunch, Revoola, Longevitest, Agent Orchestra, Claude Dev Workflow, PersonalOS, Jarvis and Toko.
Stated facts & numbers
- Headquarters: Brussels
- Employees: 1
- Industry: Technology, Information and Internet
- Type: AI consultancy and product studio
- Services: Workflow automation, product systems, AI operations, delivery support
- Projects listed: 16 case files across flagship, B2B, developer tools and productivity
- Products in production: VoxChimp, Deal Broker, Agent Orchestra, PersonalOS
- Website: indiestudio.ai
In the news
- Apple Reference Image provenance Apple says the iPhone 18 Pro can create a signed reference from sensor data, giving viewers a baseline to compare with edited versions. That is stronger than asking a detector to guess from the finished image. It still does not prove the scene was unstaged or correctly described. Teams need a chain from capture through editing, review, and publication. Where would verified capture evidence change a decision in your workflow?
- AI coding agent cost benchmarks RTK can shrink terminal output without shrinking the cost of completed coding tasks. Two independent tests found that extra turns and workflow changes can erase the local saving. Measure cost per accepted task, pass rate, turns, and review time together. Which AI tool metric have you tested against the real end-to-end cost?
- OpenAI Habitat storage architecture OpenAI moved Habitat from a shared Python library into a service so routing, access rules and limits could change centrally. Coordinated rollouts and client regressions had become an operational risk. The lesson: centralise policies that need consistency, measure tail latency rather than averages, and test whether retries and connection pools reinforce overload. Which shared platform rule in your stack still depends on every team deploying correctly?
- AI agent email compliance Named AI agents reportedly sent one writer more than a dozen sales emails in roughly three days. Once an agent can contact strangers for money, outbound messaging needs permissions, rate limits, opt-outs, audit evidence, and a real accountable owner. Which outbound action would you never let an agent take without approval?
- Anthropic independent AI evaluation Anthropic says outside evaluators will receive employee-like access to inspect training pipelines, safeguards, incidents, and safety evidence. The useful operator lesson is simple: high-authority AI workflows need independent access and a release gate that can still say no. Which AI workflow in your business needs an independent release gate?
- Spotify Portal tested a simple way to cut Claude Code's bulk-reading load. Broad file reads went to a cheaper worker. Claude kept the targeted reads and the hard reasoning. The reported saving was about 90 per cent in one Java monorepo test, but the worker still missed a subtle bug. The useful lesson is to route narrow work, measure the whole system and keep a fallback. Which agent task would you route first?
- Google Gemini Spark can now run multi-step workflows across Photos and connected apps. The demo is useful, but the approval model matters more. Separate reading, editing, organizing, sharing, sending and scheduling. Preserve the source. Default outputs to private. Ask for approval at the point of consequence. Where would you place the final confirmation in your product?
- The Pentagon has added ChatGPT Mil and Grok for Government to GenAI.mil, its central portal for commercial AI tools. Google Gemini was already there. The Department of Defense says more than 1.7 million unique users have entered the portal from a workforce of roughly 3 million. (Department-reported figure; not independently audited.) The useful lesson is not which model the DoD chose. It is why millions of workers should not reach AI through scattered consumer accounts. Centralise identity, approved models, data boundaries,
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