Advanced ML/AI engineering  for ambitious teams

Wedocore embeds with Fortune-500 and high-growth companies to research, build, and productionize machine-learning systems that create measurable impact — secure, scalable, and battle-tested.

Brought to you by Wedocore Engineering

Generative-AI Accelerators now GA

Our new Generative-AI Accelerator Suite is live. It bundles domain-tuned transformers, retrieval-augmented generation pipelines, and a policy-guardrail layer so enterprises can move from prototype to production LLMs in weeks, not quarters.

It’s already powering automated RFP drafting at a Fortune-500 industrial client—cutting proposal turnaround time by 73%.

Highlights

  • One-click deployment to AWS, Azure, or GCP
  • Integrated vector-DB orchestration with live PII redaction
  • Streaming token endpoint with < 50 ms p95 latency inside VPC
  • SOC 2 Type II–ready audit logs out-of-the-box

MLOps Blueprint v2.0

v2.0 introduces a zero-downtime model promotion workflow plus native MLflow ↔ Kubernetes syncing. CI pipelines now spin up shadow deployments automatically, route a controlled % of traffic, and surface confidence deltas in Grafana.

Improvements

  • Canary promotions with automatic rollback on drift detection
  • Built-in data-quality gates using Evidently-AI
  • GPU pool autoscaling tuned for Llama-3 and Gemma families
  • End-to-end Terraform module published under MPL-2.0

ISO / IEC 27001 Certification Achieved

Security has always been table-stakes for us; now it’s official. Wedocore’s engineering and delivery operations are fully ISO / IEC 27001:2022 certified.

What this means for clients

  • Third-party–audited controls for data privacy and model confidentiality
  • Hardened build pipeline with SBOM attestation
  • Continuous vulnerability scanning across all containerized workloads
  • Faster vendor-security approvals (average 2-day reduction)

Wedocore Launch

Born out of frustration with one-off ML “proofs of concept” that never reach users, Wedocore is here to make AI actually ship. We embed with your team, reduce research to production friction, and leave behind repeatable infrastructure—not shelf-ware slide decks.

Hit us up, tell us your hardest problem, and we’ll build the system that solves it.

What we deliver

  • End-to-end ML platform architecture & implementation
  • Custom model research with full experiment traceability
  • Real-time inference APIs at cloud-native scale
  • Knowledge transfer sessions so your engineers own the stack