Ship AI, Data & Cloud work — with a senior bench behind you.
Nousonwork extends IT consulting firms' and product companies' delivery capacity with senior practitioners in Generative AI, Agentic AI, Machine Learning, Data Engineering and Cloud. The same team that builds and operates ArthFy, Oxbo and DrillHub.
- Senior-only bench
- 2–3 week ramp on most roles
- T&M, fixed-fee or outcome commercials
- White-label delivery under your brand
- APAC · EMEA · NA time-zone overlap
- Reusable accelerators for GenAI & data
Six focused practices, delivered end to end.
Each staffed by engineers who have taken live systems through design, build, deploy and operate cycles — including our own.
Generative AI & LLM solutions
LLM applications that survive production — copilots, knowledge assistants, document pipelines. We focus on retrieval quality, evaluation, grounding, hallucination control, latency and cost.
- Production RAG with reranking and citation
- Fine-tuning pipelines (LoRA, QLoRA) with eval harness
- Copilots and assistants with conversation memory
- Safety layer: PII redaction, guardrails, jailbreak resistance
- Cost and latency monitoring with model routing
Agentic AI & autonomous workflows
Multi-step, tool-using agents that act on real systems — research, ops, code-modification and customer-service agents with escalation paths. Built on LangGraph, CrewAI, AutoGen or MCP.
- Planner–executor architectures with reflection
- MCP servers exposing enterprise systems as tools
- Multi-agent teams with role specialisation
- Evaluation of agent trajectories, not just outputs
- Human-in-the-loop gates and action-permission observability
Machine learning & MLOps
Forecasting, recommendation, fraud, NLP, vision and anomaly detection delivered as services — from feature engineering through monitoring and retraining.
- ML services with SLA-backed latency and accuracy
- Feature stores with offline/online parity
- Model registries, CI/CD, rollout and rollback
- Drift and fairness monitoring
- Experimentation platforms (A/B, bandits)
Data engineering & platforms
Lakehouse, streaming, governance and self-service — designed for cost and for the analysts who will use it five years from now.
- Lakehouse on Databricks, Snowflake or BigQuery (Iceberg/Delta)
- ELT with Airflow, dbt, Fivetran/Airbyte
- Streaming on Kafka, Kinesis, Flink
- Catalog, lineage and access governance
- Data-quality and contract frameworks
Cloud & DevOps
Landing zones, platform engineering, Kubernetes and developer-experience programs on AWS, Azure and GCP — designed for the day-2 operator.
- Multi-account landing zones
- Kubernetes with GitOps (ArgoCD/Flux)
- IaC libraries in Terraform, Pulumi, CDK
- Observability (OpenTelemetry, Prometheus, Grafana)
- FinOps dashboards and cost allocation
Analytics & decision intelligence
From reporting to deciding — semantic layers, embedded analytics, forecasting and operational decision systems that close the loop to transactional systems.
- Metric stores and semantic layers
- Embedded and self-service analytics
- Forecasting and simulation
- Operational decisioning (pricing, routing, fraud)
- Attribution and funnel analytics
Four ways to engage. Pick the one that fits your deal.
Clean sub-contractor paperwork, clean delivery discipline. NDA and IP assignment to the prime as standard.
Staff augmentation
Senior specialists embedded in your engagement on time-and-materials. MSA + per-SOW rate card, shortlists in 5 working days, minimum 4-week commitment, client-facing or behind the scenes.
Project-based delivery
Fixed-scope, fixed-outcome pods. Scoped and quoted in 10 working days, milestone billing, weekly alignment with your PMO, optional at-risk structure.
Managed capability
A ring-fenced pod at agreed monthly capacity on 3-, 6- or 12-month terms, with a shared channel, monthly steering and discounted reserved rates.
White-label / channel partnership
Delivery under your brand — our practitioners present, deliver and document as members of your team, to your quality gates.
Send a short note about the opportunity — scope, timing, skills and geography — and we'll come back within one business day with a recommended model and a first-pass plan.
We run what we sell.
Our products are the reference implementations. ArthFy runs a strategy-discovery engine and backtester on years of market data with automated learning loops; Oxbo runs multi-tenant attribution, event ingestion and AI creative generation; DrillHub runs speech-to-text grading and LLM evaluation for thousands of practice items. All of it is self-hosted with our own CI/CD, secrets management and observability.
- LLM evaluation harnesses in production, not slides
- Self-hosted CI/CD, Vault-managed secrets, ELK + Prometheus + Grafana + Jaeger observability
- PostgreSQL, Redis, Kafka-style event queues, S3, Kubernetes-ready containers
- Java/Spring Boot, Python/FastAPI, Next.js/React Native