Project Studio AI raises fresh funding to scale its AI-native interior project platform
Taxation & Finance News * Infrastructure * India
Last updated: 11 Jan 2026
Project Studio, an AI-native platform for managing interior design and fit-out projects, has closed an undisclosed funding round. The raise will accelerate product development, deepen its India footprint, and support entry into international markets.
The intent is clear: fix execution. Interior projects often slip due to coordination gaps, cost overruns, and delivery delays. Project Studio positions itself as the operating layer that brings structure, visibility, and speed to complex workflows while keeping studios independent.
Why product leaders should care
This is a software-first approach to a services-heavy industry. The opportunity sits in standardizing execution without standardizing creativity-AI for planning and control, not for design aesthetics.
- AI-driven workflows that predict risk before it hits the site
- Real-time project visibility across planning, procurement, site execution, and financial tracking
- Studios stay in control; the platform tightens operations and margins
Product approach: build the operating layer
The platform acts as a central hub across stakeholders, vendors, schedules, and budgets. Think modular services stitched together by a shared data model and AI inference.
- Core modules: scope and BOQ, vendor management, procurement, site progress, change orders, billing
- Data model: project, task, dependency, cost, and risk entities with audit trails
- AI layer: predictive scheduling, cost variance alerts, risk scoring, and recommendation loops
- Integration bus: ERP, accounting, CAD/BIM exports, logistics, and payment rails
- Governance: roles/permissions, approvals, document control, and compliance logs
KPIs that signal real product impact
- Schedule adherence: planned vs. actual (by phase and overall)
- Cost variance from BOQ and change-order latency
- On-time milestone delivery rate and punch-list closure time
- Vendor reliability score and lead-time accuracy
- Gross margin uplift per project cohort
- Model quality: forecast MAPE for schedule/cost, alert precision/recall
- Adoption: active seats, project coverage, and workflow completion rates
Go-to-market notes
Early adoption in India with pilots in overseas markets shows a path to scale. The wedge is execution predictability for independent studios and mid-market fit-out firms.
- Entry motion: pilot-based sales with success metrics and playbooks by project type
- Pricing: per-seat plus usage tied to active projects or vendor transactions
- Distribution: partnerships with material suppliers, GCs, and project management consultants
- Enablement: templates by segment (office, retail, hospitality, residential) and role-based onboarding
Risks to plan for (and how)
- Data quality: require structured inputs, add schema validation, and feedback loops from site updates
- Integration sprawl: prebuilt connectors for common ERPs and simple CSV/API fallbacks
- Field adoption: mobile-first UX, offline mode, photo/voice inputs, quick issue logging
- Change control: clear approval workflows and audit-ready change-order trails
- Model drift: periodic backtesting and auto-retraining on recent project cohorts
Why investors are leaning in
Interior and fit-out services in many markets are still fragmented. Platforms that make delivery predictable can create leverage across the value chain. The broader construction sector has long struggled with productivity-context that favors execution-focused software.
What's next for the product
The funding will drive deeper AI features: predictive scheduling, cost optimization, and risk management that flags issues before they hit the site. Expect stronger India operations and selective international rollouts where organized execution is in demand.
If you're building or buying in this space, prioritize clear data contracts, integrations with finance and procurement, and measurable gains in schedule and cost accuracy. Keep the creative process untouched-tighten the delivery engine.
Level up your team
For product leaders upgrading AI skills and playbooks, a curated path helps. Explore practical programs here: AI courses by job.
Your membership also unlocks:
