Production-grade AI agents, voice systems, and creative AI infrastructure, built by a team that runs its own AI products at scale.
Riverborn is an AI systems development company and an OpenAI Select Partner. Based in Bangladesh with global delivery, we design, build, and deploy production AI systems for startups, mid-market, and enterprise teams. Everything we build for clients is first proven on products we run ourselves.
Real products, real users, live today. Each one is the consumer proving ground for an enterprise system we deliver to clients.
Turn a photo into a branded campaign visual in seconds.50K+ creators, marketers and small businesses Powers Chitron AI · E-commerce, Retail, D2C |
Real-time AI voice coaching with live feedback on tone, clarity and pacing.100K+ voice interactions processed Powers Dhoni AI · BPO, Call Centers, Sales |
Turn any document, PDF or topic into a structured quiz instantly.Used by educators in 80+ countries Powers Jachai AI · HR, Training, Compliance |
Turn hand-drawn sketches into polished visuals in one click.For designers, architects and product teams Powers Rupon AI · Architecture, Real Estate |
Turn a brief into blog posts, social copy and scripts in minutes.For solo creators and content teams Powers Rachona AI · Marketing, EdTech, Publishing |
See all case studies → |
Production patterns from our client and product work, released so you can read the code, run it, and build on it.
| Project | What it is | Stack |
|---|---|---|
| bangla-speech-to-text-benchmark | Open benchmark of 8 Bengali speech-to-text APIs on 1,001 real audio clips across 13 domains. CER, WER, latency and cost, batch and streaming. | Python |
| nongor | Local-first RAG chat that answers questions about your documents, with citations. | BGE-M3, LanceDB (dense + BM25), BGE reranker, FastAPI, Nuxt 3 |
| offline-ai-chat | Chat and talk with an LLM fully on the phone. No server, no data leaving the device. | React Native (Expo), llama.cpp, Whisper, Piper / Kokoro |
| easy-draft | Multi-agent writing pipeline: brief in, researched LinkedIn / X / blog / email draft out, with guardrails and human approval. | OpenAI Agents SDK, GPT-4o, Claude, React, Express, MongoDB |
| interactive-3d-avatar-ai-agent | Browser voice agent with a lip-synced 3D avatar and hands-free listening. | FastAPI, Deepgram, GPT-4o, Azure Speech, three.js |
| sharathi | Self-hosted AI agent that answers Facebook Messenger for your business Pages, with a live dashboard. | Node.js, Express, Socket.IO, React, GPT-4o |
| jachai | AI quiz maker: text, PDFs, documents or images into a shareable, auto-scored quiz. | Nuxt 3, Express, MongoDB (Prisma), GPT-4o-mini |
⭐ If one of these saves you time, a star helps other builders find it.
- How we built EasyDraft with the OpenAI Agents SDK
- On-device RAG: how we built private document search
- Offline voice AI: why more engine choices aren't always better
- Why AI agents restart instead of resuming (and how to fix it)
- Migrating a 40-agent sales system from Google ADK 1.x to ADK 2.0 workflows
More at riverborn.com/blog.
- Autonomous AI agents that plan, execute multi-step work, self-correct, and keep persistent state.
- Knowledge-aware conversational AI: RAG-native assistants across text and voice channels.
- Telephony-integrated voice AI with real-time transcription, speech intelligence, and CRM sync.
- Private AI cloud and on-premise deployments for strict compliance and zero external API dependencies.
- System-of-record integration: models wired into your CRM, ERP, and HRIS through clean APIs.
- We are our own first customer. The architecture you get already runs our products under real traffic, with observability, error budgets, and performance targets set before launch.
- Founder-led architecture. Our CEO leads the engineering design on every engagement. You work directly with the people designing your system.
- OpenAI Select Partner, earned on production systems already running and relied on worldwide.
How engagements work
Start with a 30-minute discovery call. From there:
- AI Readiness Audit (2–4 weeks): feasibility score, prioritized use cases, and a technical roadmap before you build.
- 30-Day AI Agent MVP (4 weeks): a production-ready AI agent with fixed scope and no surprise charges.
- AI Integration Sprint (4–6 weeks): models and pipelines integrated into your existing systems.
- AI Workflow Automation Audit (2–3 weeks): bottleneck mapping and ROI projections.
- Nasim Uddin, Founder & CEO (LinkedIn · X): leads technical architecture across voice, agents, and generative systems.
- Nasir Uddin, Co-Founder & COO (LinkedIn · X): operations, delivery, and compliance.
- Raihan Ahmed, Co-Founder & CMO (LinkedIn · X): brand, positioning, and matching solutions to client needs.