We build AI you can trust
The enterprise AI platform for
accuracy, accountability and
actionable insights
From data integrity to deployment, neonet.ai combines advanced infrastructure with rigorous methodologies to deliver measurable results—without sacrificing trust.
Stronger together. Smarter automation.
Accuracy by Design
AI is only as good as its data.
Our TruthGuard® layer enforces citation, fact checks, and policy constraints—so outputs remain reliable and auditable.
Enterprise Infrastructure
cloud, on‑prem, or hybrid
Modular architecture with RBAC, observability, and governance that fits your landscape.
Methodology & Expertise
More than tech
Delivery playbooks, forward‑deployed data analysts, and measurable outcomes.
Platform Modules
From data integrity to deployment, neonet.ai combines advanced infrastructure with rigorous methodologies to deliver measurable results—without sacrificing trust.
TruthGuard®
Graph‑native data quality with AI validators, citations, and policy guardrails.
Fact checks & source attribution
Policy constraints (PII, compliance)
Uncertainty scoring & fallback flows
Data Quality Builder
Data profiling, validation rules, lineage & drift alerts.
Schema & semantic checks
Golden record & deduping
Automated data tests in CI/CD
Workflow Engine
Composable steps for RAG, agents, and human‑in‑the‑loop approvals.
RBAC + approval gates
A/B & champion‑challenger
Observability for each step
Governance & Security
Audit trails, role‑based controls, and policy packs for regulated industries.
PII redaction & masking
Full audit & reproducibility
Key management & secrets
Observability & Analytics
Track quality, latency, cost, and business KPIs across use cases.
Tracing & metrics
Cost governance & budgets
Quality dashboards & feedback loops
Deployment Flexibility
Cloud, on‑prem, or hybrid with your existing stack.
Kubernetes‑ready
Works with your LLMs
Connectors to 700+ systems
How it works
A clear, methodical path — from data to decision. Technology plus methodology yields consistent, credible outcomes.
1.
Data Integrity
Profile, clean, and validate. Establish lineage and rules that travel with your data.
2.
Build & Orchestrate
Compose workflows (RAG, agents, tools). Add guardrails and approvals.
3.
Assure & Observe
TruthGuard® policies, metrics, and drift detection keep quality measurable.
4.
Scale Outcomes
Deploy to production with governance; iterate via feedback loops and KPIs.
Compliance by default
Built for regulated environments: auditability, reproducibility, and policy control from day one.
Audit & Tracet
End‑to‑end tracing, versioned prompts, and reproducible runs.
PII & Policy Packs
Redaction, masking, and jurisdiction‑aware policy enforcement.
RBAC & Secrets
Role‑based access, key vaults, SSO/SAML, and least‑privilege defaults.
Trusted by teams who know accuracy is everything.
jobs
Join the Team Shaping the Future of AI
About the role:
We develop AI agents that clients can deploy in real-world use cases – from document classification to intelligent multi-step workflows. As an AI Developer, you’ll design and implement agents that interact with APIs, orchestrate logic, and integrate into existing processes.
Your responsibilities:
- Build and refine AI agents with varying complexity (e.g., RAG, tools, workflows)
- Work with LLM frameworks (e.g., LangChain, Haystack, vLLM)
- Develop backend logic and APIs for agent management (e.g., MCP servers)
- Integrate external APIs, vector databases, and prompt engineering tools
- Collaborate closely with product teams and clients
What you bring:
- 2+ years of experience in AI/ML development (Python)
- Familiar with LLMs, prompt orchestration, and agent logic
- Strong Python and backend API development experience
- Knowledge of cloud services (Azure, AWS, or GCP)
- Independent thinking, product awareness, and clean code mindset
Nice to have:
- Experience with vector databases (e.g., Weaviate, FAISS, Pinecone)
- Familiarity with multi-agent workflows, prompt chaining, or LangGraph
What we offer:
- 100 % remote work – collaborate from wherever you’re most productive
- Flexible working hours – outcome > presence, together we reach our goals
- Regular team offsites & virtual events – meaningful connections with all team members
- Corporate EGYM Wellpass (Germany) – access to gazillions of gyms, yoga, wellness & more
- Learning budget – for books, online courses, or attending conferences
- Mentoring & coaching sessions – finding the next challenge and growth opportunity
- High autonomy & direct impact – lean processes, no unnecessary hierarchies
- Your preferred setup – we equip you to do your best work
- English as company language – and speaking more languages is always beneficial
About the role:
We build AI platforms that power real-world applications – and robust data pipelines are their foundation. As a Data Engineer, you’ll be responsible for building, operating, and evolving data infrastructures that support high-performance AI systems.
Your responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines
- Model and integrate structured and semi-structured data from diverse sources
- Work with graph databases (e.g., Neo4j) to support semantic modeling
- Drive cloud-native data infrastructure in collaboration with platform teams
- Work closely with AI developers and product stakeholders
What you bring:
- 2+ years of experience as a Data Engineer
- Strong Python skills (e.g., Pandas, Pydantic, Airflow)
- Hands-on with relational, NoSQL and graph databases
- Solid knowledge of data structures, API design, and integration patterns
- Familiarity with at least one cloud platform (Azure, AWS or GCP)
- Structured, independent and proactive work style
Nice to have:
- CI/CD for data pipelines, versioned data, and orchestration tools
- Understanding of AI/ML lifecycle and data management needs
What we offer:
- 100 % remote work – collaborate from wherever you’re most productive
- Flexible working hours – outcome > presence, together we reach our goals
- Regular team offsites & virtual events – meaningful connections with all team members
- Corporate EGYM Wellpass (Germany) – access to gazillions of gyms, yoga, wellness & more
- Learning budget – for books, online courses, or attending conferences
- Mentoring & coaching sessions – finding the next challenge and growth opportunity
- High autonomy & direct impact – lean processes, no unnecessary hierarchies
- Your preferred setup – we equip you to do your best work
- English as company language – and speaking more languages is always beneficial
About the role:
You will create intuitive, scalable web apps and admin panels that interface directly with our AI platforms. From UI design to database queries, you’ll work across the stack in a modern tech environment.
Your responsibilities:
- Develop web frontends using React, TailwindCSS, and TypeScript
- Build backends and APIs with Node.js and NestJS
- Design and maintain database models with Prisma and PostgreSQL
- Collaborate with AI engineers to visualize agent interactions and workflows
- Ship high-performance, responsive applications
What you bring:
- 2+ years of experience as a fullstack engineer
- Excellent knowledge of TypeScript, React, TailwindCSS
- Backend experience with Node.js, NestJS, Prisma ORM
- Solid experience with relational databases (PostgreSQL)
- Self-driven, structured, and UX-aware mindset
Nice to have:
- Experience with authentication, access roles, CI/CD
- Exposure to AI tools or LLM-driven interfaces
What we offer:
- 100 % remote work – collaborate from wherever you’re most productive
- Flexible working hours – outcome > presence, together we reach our goals
- Regular team offsites & virtual events – meaningful connections with all team members
- Corporate EGYM Wellpass (Germany) – access to gazillions of gyms, yoga, wellness & more
- Learning budget – for books, online courses, or attending conferences
- Mentoring & coaching sessions – finding the next challenge and growth opportunity
- High autonomy & direct impact – lean processes, no unnecessary hierarchies
- Your preferred setup – we equip you to do your best work
- English as company language – and speaking more languages is always beneficial