Clear answers about how we work, what we build, and how we can help with your AI projects.
Arctura AI is a multi-product AI studio. We build our own SaaS products (for analytics, image generation, and financial-document intelligence) and help partners add AI features to their products—from RAG assistants and chatbots to vision and automation workflows.
We usually follow a three-step process:
1. Discovery & strategy – understand your product, data, constraints, and success metrics.
2. MVP design & build – design the architecture, choose models, and build a focused MVP that proves value quickly.
3. Launch & iterate – harden for production, monitor quality and cost, and refine features based on real usage.
You can engage us for the full journey or for a specific stage (e.g., architecture review or MVP build).
We are model- and vendor-agnostic. We regularly work with:
- Hosted LLM APIs
- Open-source models (for self-hosted deployments)
- Retrieval stacks (RAG), vector databases, and traditional search
- Orchestration frameworks and modern MLOps / data tooling
For each project, we recommend the simplest, lowest-cost stack that still meets your quality, latency, and compliance requirements.
Our pricing depends on the scope and complexity of the project, but we usually work within these ranges:
Strategy & consulting
- Short-term consulting / architecture review: $100/hour
- Compact discovery package (a few sessions + written recommendations): $1,000-$2,000
Design & implementation
- Small MVPs (single use case, limited integrations): $2,500–$8,000
- Larger production systems (multiple workflows, integrations, SLAs): $15,000–$50,000
After a short discovery call, we can tell you which band your project is likely to fall into and adjust based on your constraints.
We work on applied AI projects that are close to real workflows, such as:
- Internal RAG systems and knowledge assistants
- LLM-powered search and Q&A over documents or data
- AI chatbots for support or operations
- Image and vision pipelines for content and e-commerce
- Automated analytics, reporting, and alerting platforms
We can support you from idea validation all the way to a production-ready system.
Data privacy is a core requirement in our work. Depending on your needs, we can:
- Keep all data within your cloud environment
- Use enterprise-grade LLM providers with strict data retention controls
- Or design solutions around open-source models that never send data to third parties
We never use your proprietary data to train models for other clients.
The easiest way to start is with a short discovery call. You share your goals, constraints, and any existing ideas; we’ll give you honest feedback on feasibility, potential approaches, and next steps. From there we can scope an architecture review, an MVP, or a full build depending on your needs.
Yes. We offer a free 45-minute pre-project consultation:
- You walk us through your product, data, constraints, and goals
- We give you honest feedback on feasibility, risks, and possible approaches
- If it makes sense, we’ll outline 1–2 concrete options (e.g., “lightweight MVP” vs “production-ready build”) with rough timelines and budget ranges
There’s no obligation to work with us after this call. If you’d like to go deeper, we can then scope a paid discovery workshop, an architecture review, or a small MVP as a next step.