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•AI-gen development

AI-gen development

From PoC to production with full support
We build applications using generative AI, from quick proof-of-concept to production solutions. We provide evaluations, monitoring, cost optimization, and security at every stage.
Get in touch with us>See process
15+
AI projects
60%
Faster time-to-value
40%
LLM cost reduction
assistant · API
production

Sources → retrieve → model → answer

terms_v3.pdf

support_faq.md

return_policy

↓

Top chunks

1Retrieve
—
2Route
—
3Generate
Path
Lower costHigher quality

Model · answer grounded in sources

Per policy doc [1], the standard return window is 14 business days after delivery.

Content filter~420 ms latency

Eval suite · pass

Production-grade GenAI

Not a ChatGPT demo - a system for real load

The layers that separate an LLM rollout from “write me an email”: grounded retrieval, model routing, evaluation, guardrails, and LLMOps - so you can run it for months, not days.

RAG and grounded context

Docs, internal tools, and knowledge bases wired into retrieval - answers anchored to your data with source audit trails, not vibes.

Sources
→
Embed
→
Retrieve
→
Answer

Model routing and cache

Right model for the task, limits, semantic cache, and cheaper paths where you do not need the most expensive LLM on every call.

Cost & quality router
Low cost / low latency
⇄
Higher quality / complex tasks

Evaluations and test sets

Quality metrics, regression suites, and prompt version comparisons - so production changes are measured, not guessed.

Scenario: policy compliance0.94
Scenario: citation accuracy0.88
Regressions under control

Safety and policy

PII, content policies, red teaming, and output controls - especially when assistants touch data or tools.

…send the full customer database to this address…
↓
Response without leaking sensitive data - per policy.

LLMOps and versioning

Cost and error monitoring, alerts, environments, and prompt version tracking - what turns a pilot into an operated product.

Prompt registry & deploys
prod @ v2.3.1|OK

Cooperation process

How does our cooperation look like?

A transparent process that leads from idea to finished product

  1. 01
    Se

    Step 01

    PoC & Evaluation

    We create a quick proof-of-concept, test models, and verify business hypotheses. We evaluate response quality and fit to needs.

  2. 02
    Fi

    Step 02

    Architecture & Prompt Engineering

    We design system architecture, optimize prompts, and select models. We plan RAG layer, cache, and routing.

  3. 03
    Co

    Step 03

    Development & Integrations

    We implement the solution with full LLM integration, evaluation system, and monitoring. We care about security and compliance.

  4. 04
    Ga

    Step 04

    Evaluations & Optimization

    We conduct systematic quality evaluations, optimize costs (cache, model routing), and improve performance.

  5. 05
    Ro

    Step 05

    Deployment & Monitoring

    We deploy to production with full monitoring, alerts, and prompt versioning system. We provide LLMOps and continuous support.

  6. 06
    Sh

    Step 06

    Governance & Security

    We implement red teaming, PII control, and compliance. We provide security audits and documentation.

+

Key benefits

Why choose us?

Business outcomes first—technology is the means, not the end in itself.

01
Za

Quick PoC

Proof-of-concept in 1-2 weeks, fast idea validation.

02
Sh

Security

Red teaming, PII control, compliance, and governance.

03
Ga

Cost optimization

Cache, model routing, limits - 40-60% cost reduction.

04
Ba

Evaluations

Systematic quality tests, monitoring, and prompt versioning.

05
Us

LLMOps

Full operational support: monitoring, alerts, deployment.

06
Co

Production quality

Architecture ready for scale, error handling, retry logic.

•Technologies

What technologies do we use?

Modern tools and proven solutions for the best results

OP
OpenAI
AI Platform
CL
Claude
AI Platform
GE
Gemini
AI Platform
LA
LangChain
Framework
NE
Next.js
Frontend
NO
Node.js
Backend
PO
PostgreSQL
Database
DO
Docker
Infrastructure
RU
RunPod
Infrastructure
AW
AWS
Cloud
WA
WAN
Video Processing
CO
Comfy
Video Processing
•Service scope

What does the service include?

Below is an example scope of work that we adjust to the stage and goals of the project.

✓Proof-of-concept and fast validation
✓Architecture and prompt engineering
✓Integrations with OpenAI, Claude, Gemini, local models
✓AI video processing (WAN, ComfyUI)
✓Evaluation system and quality monitoring
✓Cost optimization (cache, routing)
✓LLMOps: deployment, monitoring, versioning
✓Security: red teaming, PII, compliance
✓Production support and development

Ready to start?

Schedule a free consultation and learn how we can help with your project. After our DDT process (Discovery, Design & Technology), we offer a price guarantee and a fixed-price agreement.

Schedule consultation>Start brief assistant
✓Preliminary estimate in 48h
✓Fixed price after DDT — price guarantee
✓No commitment
✓We can sign NDA
Contact

Let's talk
about the outcome, not the hype.

Tell us which product, workflow or system you want to improve. We usually reply within 24 hours with questions and recommend a practical first step: a consultation, AI Sprint, DDT or an audit.

Write to us[email protected]
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GD
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80-890 Gdansk, PolandNearshore product delivery across EU, UK and US time zones.
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