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Zytel builds AI software for scientific research, biotech and industrial automation, in collaboration with AIXC Research and AIXC Bio.
AIXC Divisions
Two sister companies inside the Zytel ecosystem, each focused on a distinct frontier of applied AI. We work together on projects that demand causal reasoning, formal verification, and real scientific discovery.
AIXC Research
aixcresearch.com
Causal Discovery · Formal Verification · Real Science.
Causal reasoning and counterfactual inference engines for corporate R&D and research institutions. Formal verification of AI systems for high-responsibility domains (industry, defense, public health).
- Causal discovery at enterprise data scale
- Formal verification of LLM agents
- Reproducible, auditable scientific models
AIXC Bio
aixcbio.com
AI-Powered Drug Discovery.
AI-assisted drug discovery: candidate screening, affinity prediction, target prioritization and generative molecular design for biotech and pharma.
- Virtual screening pipelines with foundation models
- ADMET prediction and lead prioritization
- De novo design assisted by generative AI
Technical capabilities
Full-code stack for shipping AI systems to production — not demos.
LLMs & agents
GPT, Claude, Llama, Mistral, DeepSeek. Orchestration with LangChain, LlamaIndex, MCP agents, multimodal RAG.
Applied machine learning
PyTorch, TensorFlow, scikit-learn. Supervised models, time series, computer vision, forecasting.
Data & MLOps
Vector DBs (pgvector, Weaviate, Qdrant), Airflow/Prefect pipelines, Kubernetes + GPU deployment.
On-premise & air-gapped
Local LLMs for data-restricted clients: llama.cpp, vLLM, Ollama, quantization, custom fine-tuning.
Formal verification
Symbolic analysis, model checking, invariant generation for autonomous agents in critical domains.
Industrial integration
Connectors to SCADA, OPC-UA, ERPs, IoT sensors. AI embedded in fleet and industrial plant (Zytel EV).
Group products & projects
Real cases built by Zytel and its sister companies within the AIXC / Zytech ecosystem.
Group AI Lab
Internal R&D on models, agents and architectures for the rest of the Zytech group divisions.
Vertical assistant
Verticalized AI assistant platform for fleet operations and predictive maintenance.
Private models
Deployment of private foundation models for enterprise clients with data sovereignty requirements.
Executive AI hub
Strategic executive advisory for corporate leadership: roadmap, governance, responsible adoption.
How we work
A phased model with real deliverables at every step — no eternal PoCs.
Discovery
2–4 weeks
We audit the data, processes and the real business question. Output: technical roadmap and ROI estimate.
- Data audit and preliminary ETL
- Model & architecture selection
- KPI definition
Pilot
6–10 weeks
Functional prototype in a real environment with client data. Measurable proof of value before scaling.
- MVP in preproduction
- Quantitative evaluation vs. baseline
- End-user iteration
Production
continuous
Rollout, monitoring, automated retraining and SLA support. On-cloud or on-premise.
- CI/CD + observability
- Retraining and drift detection
- Maintenance contract
An AI project in the pipeline?
Write to us and we'll schedule a no-commitment discovery call.