AI that solves the problem in 30 days, not a PoC for a year.

SeioraAI

Chatbots, OCR, assistants, and automation that ship to production—not demo videos and pilots that never leave staging. We build small, focused systems with measurable outcomes, integrated into the product you already have.

What we build

Five types of AI systems we've seen work in production—and two we deliberately skip.

 

AI assistants for customer support

A chatbot that resolves 70% of inquiries before they reach an agent. It understands your products, your tone, your edge cases. When it can't—it escalates to a human with full conversation context, not a blank ticket.

python openai-icon langchain

OCR and document processing

Invoices, contracts, shipping documents, forms. Input is paper or PDF, output is structured data in your system. Typical case—87% of documents go through automatically, 13% go to review. Smaller team, faster cycle.

openai-icon python Anthropic

RAG assistants—answers from your data

An internal assistant that answers your team's questions from your documentation, contract database, internal wiki. No hallucinations—if the answer isn't in your data, it says "I don't know" and routes the question to the right person.

openai-icon langchain hugging-face-icon

Classification and auto-categorization

Support tickets, emails, applications, documents—classified in real time by the right team and priority. Less manual routing, faster response times, fewer misses.

python hugging-face-icon scikitlearn-svgrepo-com

Content generation at scale

Product descriptions for 5,000 SKUs. Localization into four languages. Email campaigns with variants per segment. Where the question is "how fast and how cheap" rather than "how brilliant"—AI works cheaper and more consistently than freelance copywriters.

Anthropic openai-icon python

What we don't do

We deliberately avoid: AI strategy and consulting without code delivery, "custom models" for problems GPT already solves, and edge/embedded AI deployments where we're not specialized. If that's what you need—we'll say so on the first call and recommend someone who is the right team.

What we deliver

Four formats we ship AI solutions in—depends on where you are now.

Audit

AI audit and opportunity map

We review your processes, identify 3–5 places where AI realistically delivers value, rank them by cost-to-benefit ratio. No model investment yet—just a clear map of what to do, what not to, and where to start.

Audit ROI estimate Prioritization Roadmap
Pilot

30-day pilot

A small, clearly defined AI system that solves one specific problem. Timeline 30 days, fixed price, measurable outcome. If it works, we scale. If it doesn't, you know fast and cheap.

Fixed scope 30 days Measurable outcome Fast decision
Integration

AI in your existing product

You have a web or mobile app that works—we add an AI layer without rebuilding the architecture. Semantic search, assistant, classification, automatic personalization. Live in 4–8 weeks.

Integration API LLM layer No refactoring
Custom

Custom AI system from scratch

For projects where an off-the-shelf LLM isn't the answer—domain-specific model, fine-tuning on your data, dedicated infrastructure. Inputs are your data and business problem, output is a system in production.

Fine-tuning Domain model Monitoring Production
How we build AI systems

From the first conversation to a system in production—with timelines that don't shift.

  1. Audit and opportunity (1 week)

    We understand the process, the data, and the pain point. We propose 1–3 use cases with estimated ROI and a recommendation on where to start. If AI isn't the answer—we say that too.

  2. Pilot definition (3–5 days)

    One use case, clearly defined scope, fixed price, measurable KPI. Before we start building, you know exactly what you're getting and when.

  3. Pilot development (3–4 weeks)

    We build, integrate, and test on your real data. Weekly demos. End output: a system in production or staging, with success metrics in plain sight.

  4. Scale or decide (depends)

    Pilot works → we scale to more use cases, add monitoring, optimize cost per call. Pilot doesn't work → we analyze why, propose alternatives, or say AI isn't the right solution. Either way, you know fast and clearly.

Got a process eating four hours a day? Emails sitting unanswered for two days? Documents being read by hand?

All three are things we solve in 30 days—or tell you it's not worth trying. 30 minutes on a call—we look at the process, propose a pilot, and give a ballpark price.