decryptcode.com

What It Is

DecryptCode INC is an enterprise-focused mobile app development and AI engineering company. Its website states that it has 15+ years of experience, 200+ delivered projects, and is based in White Plains, NY. It is not a traditional self-service developer tool; rather, it is a service provider that delivers custom projects for clients, including iOS/Android apps, generative AI applications, RAG pipelines, AI Agents, and ML systems.

Core Capabilities

Its AI capabilities cover mainstream ecosystems such as GPT/Claude/Vertex AI, LangChain, LlamaIndex, vector databases, AWS/GCP/Azure, and Docker/K8s. In generative AI, the company emphasizes the gap between demos and production, offering output validation, citation tracking, confidence scoring, rate limiting, cost management, monitoring, human review, and safety guardrails. Its RAG services are described in relatively complete detail, including document ingestion, semantic chunking, hybrid search, reranking, citation traceability, evaluation testing, and multimodal RAG.

Pricing and Delivery

Public pricing is mainly available for RAG: a basic prototype takes 4–6 weeks and costs around USD 30,000–50,000, while enterprise-grade implementations typically start at USD 50,000–200,000+. For generative AI projects, the company provides timelines: 6–10 weeks for focused applications, and 12–16 weeks for complex multimodal or multi-agent systems, but it does not disclose fixed prices. Overall, this is a high-ticket, project-based service.

Pros and Cons

The strengths are broad technical coverage, an emphasis on production-grade engineering, accuracy, auditability, and compliance, making it suitable for demanding industries such as legal, finance, healthcare, and SaaS. The drawbacks are the lack of a standardized product, console, SDK/API documentation, and clear packages. Key details such as self-hosting options, code ownership, and post-delivery operations SLA are not explained in the collected text.

Who It’s For and Access from China

It is suitable for enterprises that already have a clear business scenario and budget, and want to outsource the delivery of an AI system or mobile application. It is less suitable for individual developers looking for low-cost SaaS, open-source frameworks, or self-service development platforms. Access from mainland China and payment methods are not disclosed. Since it relies on OpenAI, Claude, some overseas cloud platforms, and vector databases, actual implementation may involve network connectivity, compliance, and cross-border payment issues. Teams in China may also want to evaluate local foundation models, cloud-provider knowledge base products, and domestic AI engineering service providers as alternatives.