deepsense.ai vs Master of Code Global
In AI Voice Agencies, deepsense.ai holds position 3 and Master of Code Global position 5. Both work with healthcare organizations, financial services firms and ecommerce businesses. Both build on OpenAI, LangChain and AWS Bedrock. deepsense.ai publishes a starting price of $25,000; Master of Code Global publishes one of $25,000.
Side by side
| Fact | deepsense.ai | Master of Code Global |
|---|---|---|
| HQ | Warsaw, Poland | Redwood City, United States |
| Founded | 2014 | 2004 |
| Team | 51-200 | Not published |
| Pricing | From $25k | From $25k |
| Starting price | $25,000 | $25,000 |
| Pricing model | Not published | Project |
| Stack | OpenAI, ChatGPT Enterprise, Codex, Claude, Gemini, ElevenLabs, LangChain, LangGraph, AWS Bedrock, Google Cloud Vertex AI, Ray, Microsoft Fabric | OpenAI, Anthropic/Claude, LLM-Orchestrator (own open-source framework), MCP, Microsoft, AWS, Claude (Anthropic), Google Vertex, AWS Bedrock, LangChain, LlamaIndex, LangFuse, LOFT (proprietary framework), Twilio, Genesys, NICE, Avaya, Amazon Connect, Amazon Lex, Amazon Polly, Amazon Transcribe, Google Dialogflow, Azure Speech, AWS Lambda, Zendesk, Salesforce, HubSpot |
| Industries | Healthcare, Financial Services, Ecommerce, SaaS | Ecommerce, Real Estate, Healthcare, Financial Services, Logistics |
| AI Automation Agencies | Not ranked | #15 of 43 |
| AI Agent Development | Not ranked | #5 of 41 |
| AI Voice Agencies | #3 of 20 | #5 of 20 |
| AI Consulting Firms | #5 of 36 | Not ranked |
| Third-party ratings | ||
| Best for | An enterprise with $25,000 or more that wants production LLM agents, voice agents or RAG systems built by a large engineering team with partner status verified at Anthropic and OpenAI. | Enterprise teams that want an agent running in production with orchestration, tool access and tracing named up front, and a fixed-budget pilot before committing to a full build. |
Ratings are published by the sources named and are shown as each source displays them. AI Agency Radar does not combine them into a score of its own, and positions come from the published criteria alone.
Our verdict on deepsense.ai
deepsense.ai suits an enterprise with $25,000 or more that wants production LLM agents, voice agents or RAG systems built by a large, experienced engineering team.
The main caution: Every agent and LLM result is published for an unnamed client, so none can be checked against a reference without asking; the named results with figures are computer vision and reinforcement learning.
Our verdict on Master of Code Global
Master of Code Global is the right choice if you want an agent in production rather than a proof of concept, and you want to see how it will be debugged before you sign: it names LangFuse as its tracing layer alongside LangChain, LlamaIndex, MCP, Bedrock and Vertex, and it runs its own open source orchestration framework.
The main caution: Chatbot and conversational AI account for 40% of technical focus per Clutch; autonomous multi-step agent work is a newer extension of a conversation design practice.