Valueonboard
Valueonboard is a founder‑led, product‑first AI studio based in Budapest that builds and runs production AI products (their own and for select partners), with EU AI Act and GDPR-aware architectures and AWS operations expertise.
Valueonboard is recruitment & hr software teams evaluate for business operations. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Business Operations
What it does
Recruitment & HR software for decision-makers comparing workflow fit and alternatives.
Best fit
Business Operations
Pricing snapshot
Pricing available on request
Next step
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Valueonboard is a product‑first AI studio that both builds and operates its own AI products and partners selectively to build and run production AI for clients. Led by senior principals and a founder with 20+ years of product experience, the studio emphasizes shipping production-grade systems (not demos), EU AI Act awareness, GDPR compliance, and AWS-based operations. They focus on a small number of high-value partnerships and take end-to-end ownership from product strategy through AI build and AWS operations, offering on-prem/offline options where data residency or regulated domains require it.
Valueonboard offers no-code enterprise solutions and AI-supported industry applications.
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Claim this listing for $29Key Features
End-to-end product development
Product strategy → AI build → AWS operations. One team (principals) owns the engagement from scoping to live uptime.
Production AI microservices
A fleet of production services such as automated candidate screening, job & CV parsing, and structured evaluation running on AWS with SLAs, monitoring, and cost controls.
EU AI Act and GDPR-aware design
Designs for compliance from day one — risk classification, transparency, human oversight, and EU data residency by default.
On‑prem / offline options
Offline/on‑prem deployments and on‑device components for regulated domains and public‑sector use cases where recordings or data cannot leave the room.
Cost discipline and operations
Model and infrastructure sizing to avoid idle GPUs and runaway token bills; AWS operations and cost discipline are part of delivery.
Founder‑led senior team
Principal involvement throughout engagements; founder with 20+ years of shipping products and a partner with regulated-domain ML experience.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
AI recruitment (IntelliHR)
Full applicant tracking system with AI features: job ad drafting, candidate–role relevance scoring, and lifecycle prognosis for drop‑off risk; built and run by Valueonboard in production.
Automated candidate screening and parsing
Production services that screen candidates against structured criteria and parse jobs/CVs into typed data for downstream evaluation and ranking.
On‑prem meeting minutes generator
Offline Hungarian speech recognition, diarization, and a local LLM that produces signed-ready meeting minutes without uploading recordings—designed for public sector/regulatory contexts.
Regulated-domain AI systems
AI for pharma, clinical, and other regulated fields where GDPR, EU AI Act, and domain rigour are required; designed with human oversight and compliance built in.
High-value partnerships
End-to-end engagements where Valueonboard builds the client's production-grade AI product and operates it on AWS with cost discipline and SLAs.
Integrations
AWS (ECS, Lambda, S3, eu-central-1)
Primary infrastructure for running production AI microservices and ensuring EU data residency.
Claude / LLMs
Usage of Claude and other LLMs as part of the model stack for AI features.
Whisper / local ASR
Speech recognition technologies (Whisper, pyannote, local ASR) for transcription and on-device/offline processing.
Postgres
Persistent data store used in production deployments.
Frontend stack (React, TypeScript, Vite)
Web frontend technologies used for product UIs.
Benefits
Limitations
Frequently Asked Questions
Do you build AI products for client companies?
What is IntelliHR?
How do you handle GDPR and the EU AI Act?
Can our data stay on‑premise?
Who will actually work on our project?
What does an engagement look like?
Where are you located and which markets do you serve?
Getting Started
- 1 Step 1: Reach out via the contact form or email (name, email, company, message) to describe what you want to ship.
- 2 Step 2: Valueonboard assesses fit and, if suitable, schedules an initial conversation; you will talk to a principal.
- 3 Step 3: Engagement scoping covering product strategy, AI build, and AWS operations; Valueonboard carries accountability through to production.
Support
Contact sales and inquiries at [email protected].
contact form
Website 'Get in touch' form to describe your project; Valueonboard replies and will arrange a principal conversation if it's a fit.
docs
Privacy Policy and Terms of Use linked on the website for data handling and legal information.
API
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