WELLINGTON / NEW ZEALAND
AI Solutions & Knowledge RAG in Wellington
We engineer reliable, production-ready AI systems that embed directly into your operations—including private enterprise policy assistants (RAG), document intelligence for complex submissions, and citation-backed knowledge search.
Local Market Dynamics
Applying Practical AI to Wellington Organisations
Wellington consultancies, policy institutes, and national bodies handle massive volumes of legislation, policy submissions, and research reports. Finding precise answers across thousands of documents requires grounded AI retrieval with strict auditability.
TenzorDev designs grounded AI architectures that deliver verified, cited answers from your internal records and automate repetitive document synthesis.
Engineering Capabilities
What We Build for Wellington Organisations
Robust, scalable solutions designed to solve specific commercial and technical challenges.
Policy & Regulatory RAG Engines
Private AI assistants that search internal policy documentation, legislation, and research archives with exact source citations.
Document Synthesis & Submission Intelligence
Pipelines extracting structured insights, key findings, and summary briefs from lengthy PDF submissions.
Private Enterprise Knowledge Assistants
Secure conversational assistants answering staff inquiries based strictly on approved organizational runbooks.
Embedded AI Operational Tools
Integrating intelligent drafting and summarisation tools directly into your existing enterprise software.
Outcome-Driven Engineering
Business Problems We Solve in Wellington
Eliminating operational drag, legacy bottlenecks, and performance deficits.
Hours Lost Searching Document Archives
We implement vector search engines that find relevant policy clauses and precedents in seconds.
Corporate Data Security & Privacy
We deploy private cloud endpoints where customer data is never stored, exposed, or used for public model training.
Unreliable AI Hallucinations
We force models to answer strictly using retrieved source context, returning transparent citations.
Local Applications
How We Apply This in Wellington
Practical use cases tailored to Wellington's dominant economic sectors.
Public Policy & Advisory Consultancies
Instant cross-referencing of government whitepapers, stakeholder submissions, and historical policy reviews.
National Peak Bodies & Industry Groups
Automated indexing of regulatory guidelines, member inquiry handling, and submission drafting support.
Creative & Digital Studios
Automated media metadata tagging, transcription synthesis, and internal knowledge search.
Why TenzorDev
Why Wellington Businesses Choose Our Engineering Team
Evaluation-Led Engineering
We test AI accuracy against benchmark question sets before deploying to production.
Privacy Act Compliance
Deployments engineered to satisfy local New Zealand data privacy and security standards.
Deep Database Integration
We connect AI models directly to your PostgreSQL databases and cloud file storage via secure APIs.
Engineering Workflow
Our Structured Delivery Process
Clear milestones, weekly demos, and transparent technical governance from discovery to launch.
Use Case Audit
We evaluate your workflow, inspect source data quality, and set accuracy benchmarks.
Vector Search & Grounding
We build vector embeddings and test retrieval quality on representative business queries.
UI Integration & Guardrails
We build the user interface, implement permission controls, and enforce deterministic guardrails.
Telemetry & Monitoring
Real-time tracking of token spend, query accuracy, and user feedback ratings.
Technology Stack
Modern, Maintainable Technologies
- Claude 3.5 Sonnet
- GPT-4o
- Llama 3
- Mistral
- pgvector
- Pinecone
- Qdrant
- LangChain
- LlamaIndex
- Python
- FastAPI
Collaboration Model
Working With TenzorDev From Wellington
Interactive staging sandboxes and weekly video progress reviews for Wellington leadership teams.
Related Capabilities
Complementary Digital Services in Wellington
Frequently Asked Questions
AI Solutions in Wellington
Will our Wellington policy and research data be kept confidential?
Yes. We use zero-retention enterprise agreements where data is never stored or used for public training, or deploy models inside your own private Australasian cloud environment.
How does RAG differ from standard ChatGPT?
Standard ChatGPT generates answers from public training data. Retrieval-Augmented Generation (RAG) searches your private verified company records and generates answers with exact source citations.
What is the typical timeframe to build an enterprise AI solution in Wellington?
A production-grade RAG knowledge system or intelligent document extraction pipeline is typically delivered within 4 to 8 weeks.
Can you run models completely in private VPCs?
Yes. For organisations with strict data sovereignty rules, we deploy open-weight models (like Llama 3) inside private Docker/Kubernetes clusters.
Deploy Grounded AI Solutions for Your Wellington Organisation
Schedule an AI discovery session to assess your data and engineer an intelligent, cited AI solution.