AI product engineering

We build AI that ships — and holds up in production.

Neuvance is a senior engineering studio that takes AI from idea to a running product: LLM apps, machine learning and the software around them, with evaluation and guardrails built in.

See our work
Fixed-scope pilots You own the code & models Evaluation, not hype
retrievalevaluationguardrailsdeploy
2–6 wk
to a working pilot
100%
code & model ownership
Eval-first
every project measured
Senior
engineers, no hand-offs
What we do

From strategy to a running system

Six capabilities that cover the whole path from a good idea to AI your users rely on.

AI Product Engineering

We design and ship LLM-powered products — copilots, assistants and agents — from prototype to production, with evaluation baked in.

RAG & retrievalAgentic workflowsEvaluation & guardrails

Machine Learning & Data

Custom models and data pipelines for prediction, ranking, classification and forecasting, tuned to your metrics.

Modeling & trainingFeature pipelinesExperiment tracking

MLOps & Deployment

We put models into production reliably — CI/CD, monitoring, versioning and cost controls — so they keep working after launch.

CI/CD for modelsMonitoring & driftCost optimization

AI Strategy & Discovery

A short, structured engagement to find the highest-value use cases, de-risk them, and produce a costed roadmap.

Use-case mappingFeasibility & ROIRoadmap

Custom Software Development

Full-stack web and backend engineering around your AI — APIs, dashboards and the product surface your users actually touch.

Web apps & APIsDashboardsIntegrations

Integrations & Automation

We connect models to your systems — CRMs, data warehouses, vector stores and third-party APIs — securely.

Vector databasesWorkflow automationSecure connectors
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Solutions

Where teams put AI to work

Common use cases we deliver — grounded in your data and wired into your workflow.

Selected work

Representative case studies

All case studies →
SaaS · Conversational AI
Support copilot for a B2B SaaS

A retrieval-grounded assistant that drafts support replies from documentation and past tickets, with human review.

42%
faster first response
3
weeks to pilot
Fintech · RAG
Document intelligence for finance ops

Automated extraction and review of financial documents with cited answers and an audit trail.

10k+
docs/month processed
99.2%
field accuracy*

Representative concept case studies for illustration. Metrics marked * are illustrative targets, not guarantees.

How we work

A measured path to production

1

Discovery & scoping

We map candidate use cases against value and feasibility, then agree on a scoped pilot with clear success metrics.

2

Data & prototyping

We assess your data, build a working prototype fast, and validate it against a real evaluation set — not vibes.

3

Build & evaluate

We engineer the production version with automated evaluation, guardrails and human-in-the-loop where it matters.

4

Deploy & MLOps

We ship to production with monitoring, versioning, cost controls and alerting so quality holds up over time.

5

Iterate & scale

We measure impact, tune, and expand to the next use case — you own the code, models and documentation.

Our engineering stack

Models & frameworks
PyTorchTensorFlowscikit-learnHugging FaceLangChainLlamaIndex
LLM providers
OpenAIAnthropicMistralOpen-source (Llama)
Data & retrieval
PostgreSQL / pgvectorPineconeSnowflakedbtKafka
Product & platform
PythonTypeScriptReact / Next.jsNode.jsFastAPI
See the full stack →
Clients

What teams say

“They shipped a working pilot in three weeks and were honest about the trade-offs at every step.”
VP Engineering, B2B SaaS
“The evaluation harness they built gave us the confidence to put the model in front of customers.”
Head of Data, Fintech
“Clear scope, fixed price, and we own everything. Exactly how a build should go.”
CTO, Retail
Start a project

Tell us what you're building

Send us your goal and we'll come back within one business day with next steps and a rough shape for a scoped pilot.

  • A short, honest feasibility read
  • A fixed-scope pilot proposal
  • No obligation, no sales pressure

[email protected]   ·   Full contact details →

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