Case study · Inflectiv
Inflectiv Helios — Multi-Assistant AI Platform
A multi-user AI assistant platform: specialized assistants per knowledge domain, conversational UI with history and personalization, Google Calendar/Meet integration, and full prompt observability — built to absorb new AI capabilities.
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3+
Domain-tuned assistants
2
Platforms: web & mobile
Full
Prompt observability
Team — 5 specialistsDuration — 6 monthsIndustry — SaaS & B2B Platforms
The problem
One general-purpose assistant can't serve every knowledge area. Inflectiv needed a platform supporting multiple domain-tuned assistants with natural conversation, knowledge retention, external productivity integrations, and a foundation that scales to capabilities like tone adaptation and custom training.
What we built
The solution.
- 01Conversational AI core on OpenAI GPT with LangChain for contextual, multi-turn conversations.
- 02Domain knowledge injection for AI, blockchain, and IoT assistants.
- 03Chat UI with assistant switching, history, and settings — web (Next.js) and mobile (React Native).
- 04Services layer with Google Calendar and Meet integration, secured with JWT and OAuth2.
- 05Prompt monitoring with dashboards and alerts; foundations for tone upload and self-training pipelines.
- 06Containerized deployment on AWS/GCP via Kubernetes with Grafana and ELK observability.
OpenAI GPT + LangChainNext.jsReact NativeNode.js / NestJSPostgreSQLMongoDBDocker / Kubernetes
Product
Inside the build.
Talk it through
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