What does Neuro Ares AI do?

Neuro Ares AI is an AI consultancy that designs, builds and runs production AI. We deliver autonomous agents, RAG knowledge bases, AI systems and infrastructure, OCR and computer vision, custom AI applications and voice AI.

How long does it take to get an AI agent into production?

Most teams see their first agent running in production within three weeks. We ship a working prototype first and let it prove itself before scaling.

Which tools does Neuro Ares AI integrate with?

Agents plug into the tools teams already use, including Slack, Microsoft Teams, Google Drive, Google Calendar, Google Chat and WhatsApp.

How much does an AI implementation cost?

Projects typically range from a few thousand to tens of thousands of dollars depending on scope. Pricing is fixed per milestone, with no hidden fees or surprise add-ons once we agree on the plan.

What size of company is Neuro Ares AI best suited for?

We work best with SMBs and mid-market teams that have real operational volume and a clear problem to solve. Startups exploring ideas are not a fit, since our focus is shipping production AI that pays for itself.

How does Neuro Ares AI handle data privacy and security?

We follow strict data privacy practices: data is encrypted in transit and at rest, never used to train external models, and stored in controlled environments. Every project includes an NDA and a clear data retention policy.

Which industries has Neuro Ares AI worked with?

We have delivered AI solutions across sectors including legal, real estate, healthcare, logistics, retail, professional services and financial services. Each industry gets models tuned to its own terminology and workflows.

What happens after the AI goes live, do you provide ongoing support?

Yes. After launch we offer monitoring, model retraining, performance reviews and priority support plans. The goal is continuous improvement, so the agent keeps getting better the more your team uses it.

Which AI models and providers does Neuro Ares AI use?

We work with the best provider for each use case, including OpenAI, Anthropic, Google, Mistral and open source models. The choice depends on cost, latency, language and the privacy profile of your data.