R&D · Building on AWS

Next-Generation Automation
& AI Workflows

We architect intelligent Python agents, advanced Telegram bots, and seamless LLM integrations to scale your business operations.

Explore Vega Request design-partner access →
PythonAgents · APIs
ClaudeLLM integration
AWSEC2 · Lambda · Bedrock

// Built with

Python AWS Anthropic Claude Telegram FastAPI Docker Postgres
0/ 7 on-call during deploy windows
0Python & LLM-native engineering
0Target page load time
0R&D cohort · AWS infra

// Capabilities

What Vega automates today

The four workflow families our platform ships with. Every capability runs through AWS Bedrock with per-customer isolation, human-in-the-loop gates, and full audit trails.

Custom Python Solutions

Backend architecture, resilient scrapers and parsers, and automation scripts that replace manual routines end-to-end.

  • FastAPI
  • asyncio
  • ETL

Intelligent Bots

Production-grade Telegram bots wired to databases, payment rails, and third-party APIs — with observability baked in.

  • aiogram
  • PostgreSQL
  • Webhooks

AI & LLM Integration

Retrieval pipelines, autonomous agents, and Claude-powered assistants for analytics, support, and internal ops.

  • Claude
  • RAG
  • Agents

Infrastructure & Cloud

Deployment, hardening, and cost-tuning on AWS and Linux. From single EC2 boxes to serverless Bedrock workflows.

  • AWS
  • Linux
  • IaC

// Process

From brief to production in weeks, not quarters

A lightweight, senior-only workflow with weekly demos and a written scope up front — no surprises.

  1. 01

    Discovery

    A 45-minute call, a shared-doc brief, and a list of success metrics. Free of charge.

  2. 02

    Scope & Quote

    Fixed-price proposal with milestones, risks, and a reference architecture diagram.

  3. 03

    Build

    Iterative delivery on a private repo, weekly demo, CI on AWS, and continuous test coverage.

  4. 04

    Launch & Care

    Production hardening, runbooks, and an optional retainer for monitoring and iteration.

// Tech Stack

How we work

A pragmatic toolkit chosen for reliability at small scale and a clean upgrade path to production scale.

Languages

  • Python
  • C
  • C++

Cloud & Infrastructure

  • AWS EC2
  • AWS Lambda
  • AWS Bedrock
  • Linux / POSIX

AI

  • Anthropic Claude
  • Agentic Frameworks
  • Retrieval (RAG)
// Reference architecture — automation + LLM agent on AWS
Client browser / Telegram API Gateway + WAF AWS · TLS · rate-limit Python Agent (FastAPI) Lambda / ECS Fargate Claude / Bedrock tool-use · RAG Postgres / S3 state · embeddings CloudWatch + Alerts logs · traces · SLOs 
# valeriy-dev :: agent.py
from anthropic import Anthropic
from tools import run_task, notify_telegram

client = Anthropic()

def automate(goal: str) -> dict:
    plan = client.messages.create(model="claude-sonnet", messages=[{"role": "user", "content": goal}])
    result = run_task(plan)
    notify_telegram(result)
    return result

// Early deployments

Vega in the wild

Anonymised summaries of early Vega pilots with design-partner companies. Full references and technical walkthroughs available to qualified prospects under NDA.

Fintech · PoC

Invoice-parsing agent

A Claude-powered agent that ingests PDF invoices from a shared mailbox, extracts line items, and posts them to an ERP API — replacing 20+ hours / week of manual data entry.

  • Python
  • Claude
  • S3
  • Postgres
Throughput
~1 200 invoices / day
Accuracy
98.4% line-level
SaaS · Retainer

Telegram support concierge

A Telegram bot that triages customer messages, answers FAQs with a RAG pipeline, and escalates live issues to on-call engineers with full context.

  • aiogram
  • Bedrock
  • Redis
  • EC2
Deflection
62% of tier-1 tickets
Response
< 4 s median
E-commerce · Project

Competitive-price scraper

A distributed Python scraper with rotating proxies and Bedrock-based HTML normalisation. Outputs a daily pricing-gap report straight to the client’s BI tool.

  • asyncio
  • Playwright
  • Lambda
  • Athena
Coverage
34 competitor sites
Cost
< $40 / month

// Design partner program

Private beta — closing in Q4 2026

We are onboarding ten companies as design partners before general availability. Partners get a fixed discount for life, direct Slack line to engineering, and input on the product roadmap.

// FAQ

Frequently asked questions

How does the design partner program work?

A 30-minute fit call, a written success plan, and a two-week deployment sprint where we help you ship the first automation inside your own AWS account. After that you operate Vega yourself on lifetime-locked pricing.

Which LLMs do you integrate?

Primarily Anthropic Claude via the official API and AWS Bedrock. We also work with OpenAI-compatible models where a client already has contracts in place.

Do you sign NDAs?

Yes. We sign mutual NDAs before any technical discussion and use isolated AWS accounts per client engagement.

What is the pricing model?

Three subscription tiers at general availability — see the pricing page for details. Design-partner companies receive a lifetime discount on whichever tier fits them best.

Where is data processed?

Default regions are AWS eu-central-1 and eu-west-1. Other regions are available on request for data-residency requirements.

// Contact

Let’s build something automated.

Describe your workflow, pain points, or integration target. We’ll reply with a scoped proposal within two business days.

  • Email admin@valeriy-dev.xyz
  • Status Active R&D phase — accepting pilot engagements
  • Timezone UTC+02:00 / UTC+03:00 (EU)

Valeriy-Dev Automation is currently operating in an active R&D phase, building scalable cloud infrastructure for upcoming product releases.