AI SaaS case study
Research Nova
Academic AI SaaS developed with Solinov Tecnologia using LLM-assisted development under architecture-first execution, secure product flows, quality gates, and production accountability.
- Problem
- Academic users need faster writing, translation, statistical decisions, and research organization without reducing rigor or traceability.
- Role
- LLM development focused on architectural decisions, secure flows, quality gates, and production-grade implementation.
- Period
- Solinov Tecnologia, 08-2024 - 10-2025.
Product Surface
- AI writing assistant for scientific and academic text workflows.
- Orthographic and stylistic review for grammar, clarity, cohesion, and academic standards.
- Academic translation with focus on technical terminology preservation.
- Statistical analysis classifier and effect size calculators for research decisions.
- Research management module for organizing projects, documents, and analysis workflows.
Engineering Focus
- Architecture-first LLM development across feature boundaries, authenticated product flows, and research-oriented modules.
- AI-assisted execution used as a force multiplier while preserving review discipline, quality gates, and production responsibility.
- Security and product reliability concerns across login, registration, password recovery, user validation, terms, privacy, and cookies.
- Feature availability exposed through API-backed enabled modules, supporting controlled rollout of writing, statistics, and research tools.
Observed Public Signals
- Public landing communicates 10K+ analyzed documents, 1000+ active researchers, 98% precision, and 50x faster review than human workflows.
- Free and Premium plans indicate a commercial SaaS model with onboarding and account creation flows.
- Public API exposes enabled product features for writing, translation, statistics, and research management.