Frequently
Asked

SudarsanLabs is a founder-led software engineering studio that builds production-ready desktop applications, AI systems, and custom engineering solutions. Founded by Sudarsan, an independent software engineer and systems architect.

Use our contact form at sudarsan.net.in/contact, or email us directly at sudarsansda@gmail.com. You will always communicate directly with the lead engineer — no account managers or middlemen.

No. All SudarsanLabs desktop products operate with a strict zero-telemetry architecture. No data is collected, transmitted, or stored externally. All processing happens locally on your machine.

Currently, all products support Windows 10/11 (64-bit). macOS and Linux support is in active development for select products.

Evaluation builds are available for all commercial products so you can verify functionality before purchasing. Commercial licenses are non-refundable after delivery, as stated in our Terms of Service.

All custom projects use fixed milestone pricing. After an initial scoping call, we provide a detailed SOW (Statement of Work) with milestone breakdowns and clear deliverables. No hourly billing surprises.

An evaluation build is a full-featured binary of our commercial product, provided for 14 days. It lets you test all features in your actual workflow before committing to a commercial license.

Fixed milestone pricing only. You know the exact cost upfront before we write a single line of code.

Yes, 100%. All custom engineering projects include complete intellectual property transfer — source code, deployment scripts, cloud credentials, and documentation.

We implement strict grounding techniques: hybrid semantic + keyword retrieval, cross-encoder re-ranking, and dynamic context windows that enforce the model to cite exact sentence sources. If the answer is not in the source documents, the agent explicitly states it is unavailable.

Yes. We support local and self-hosted open-weights models (like DeepSeek, Llama 3, or Mistral) running on private cloud instances (AWS/GCP) or on-premise hardware using Ollama and vLLM.

Most MVPs are scoped and delivered within 2 to 4 weeks, with live staging builds deployed at the end of every week for your review.

Yes, 100%. All repository code, cloud configurations, credentials, and deployment scripts are transferred directly to your organization.

We build scrapers using semantic selectors, fallback parsing strategies, and automated health checks that immediately ping you if an upstream schema changes.

Standard audits are completed within 3 to 5 business days, concluding with a detailed executive summary, technical breakdown, and a 60-minute findings walkthrough call.