Let's build something that works.

Aproksha is an AI implementation studio. We design, build, and deploy AI systems for businesses, including chatbots, voice agents, internal copilots, document AI, computer vision, and custom LLM-based products. We work with companies that need AI shipped to production, not just prototyped.

Aproksha is headquartered in Vijayawada, Andhra Pradesh, India. We work with clients globally: North America, Europe, the Middle East, Southeast Asia, and across India.

There are three ways clients usually work with us. A scoped project with a fixed price starts at around ₹2 lakh (about $2,500). A monthly retainer for ongoing builds starts at ₹1 lakh. If you want a senior engineer embedded directly into your team, that runs from ₹5 lakh a month. The final number depends on how much model usage we expect, how many systems we have to integrate with, and how regulated your space is.

A typical scoped project ships a working prototype in week two and a production-ready system in 6 to 10 weeks. Larger or more regulated builds (healthcare, finance) run longer because of evaluation and compliance overhead. We deliver weekly, every week.

We are model-agnostic. We work with frontier hosted APIs (Claude from Anthropic, GPT from OpenAI, Gemini from Google) and with open-source models (Llama, Mistral, Qwen, Gemma) when fine-tuning, on-premise deployment, or data sovereignty is required. Model selection follows the use case, not the vendor.

Yes. On-device, on-premise, and air-gapped deployments are a core capability, with open-source models tuned to your domain. This is the right answer for sensitive data, regulated industries (healthcare, defense, banking), and data-sovereignty requirements.

We design AI systems with these frameworks in mind from day one. Compliance posture is documented in every Statement of Work. We align with India’s DPDP Act 2023, GDPR, the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001.

Healthcare, financial services, retail and direct-to-consumer, real estate, education, manufacturing, legal, and logistics. Most production AI work is the same five or six engineering patterns applied to a specific domain. We know the patterns cold; the domain is the part where we rely on you to explain how things actually work inside your business.

Every production engagement includes evaluation, monitoring, and a written runbook. Post-launch, clients on a retainer receive continuous improvement, model upgrades, and observability dashboards. Project-only engagements include a defined warranty period.

Every engagement produces working software you can run, not a deck recommending what you should build. Beyond that, the difference comes down to honesty: if a use case is beyond what AI can reliably do today, or if the AI version would only be marginally better than a regular piece of software, we will say so on the first call. Our Responsible AI page also lists the kinds of engagements we will not take on, which is unusual for a studio our size.

Aproksha Labs is the public product arm of the studio. Each Lab product (Vaani, ClinicAI, BhaiAI, MAK) is something we ship to real users and also keep around as a starting template that clients can adopt and white-label. The Labs side is where we get to take technical risks; the Studio side is where we apply what we have learned to a specific business.

Start with a 30-minute discovery call. Send the form above and we respond within one business day. Most engagements move from first call to signed Statement of Work within two weeks.