AI Development
AI Features Where the Use Case Justifies Them
Two questions decide how we work with AI. First, how we build: our engineers use AI tooling day to day, and every line that ships is reviewed and owned by an engineer, so speed never replaces accountability. Second, AI inside your product: we add it only when the task is measurable, the data is ready, and the operating cost per request is understood. Under those conditions we deliver RAG pipelines and vector search on pgvector, document intelligence, classification, retrieval, assistants, and multi-agent systems, built with LangChain and the OpenAI and Anthropic APIs. When a rules-based solution is the better answer, we say so.
What's Included in AI Development
Every engagement is tailored to your needs. Here are the core capabilities we bring to the table.
Document Intelligence
Extraction, classification, and structured output from contracts, invoices, and forms.
Retrieval and Search
RAG pipelines with vector search on pgvector, so answers cite the source documents.
Assistants and Copilots
In-product assistants scoped to your data and workflows, with human review where the stakes require it.
Analysis Pipelines
Multi-agent and LLM pipelines that process queues of documents, tickets, or records into structured results.
Evaluation and Cost Controls
Eval sets, quality gates, and per-request cost tracking, so quality and spend stay visible in production.
What's Included
Every ai development engagement comes with a comprehensive set of deliverables to ensure your project is built to the highest standards, from initial planning through post-launch support.
- Use-case & data readiness assessment
- RAG / retrieval pipeline development
- LLM feature integration (OpenAI, Anthropic)
- Vector search with pgvector
- Evaluation & quality gates
- Operating-cost monitoring setup
- API & backend integration
- Testing against real data
- Documentation & training
- 30-day post-launch support
Why Choose Our AI Development
The advantages of partnering with our Vietnam-based team for ai development, and what sets our delivery apart from typical outsourcing engagements.
Measurable Tasks First
We start where accuracy can be graded against a test set, so the feature is judged on results, not demos.
Reviewed and Owned by Engineers
AI tooling accelerates the build; accountability for what ships stays with named engineers.
Operating Cost Understood Up Front
Per-request cost is estimated before build and tracked after launch, so the feature stays affordable at real volume.
Honest Fit Assessment
When rules-based logic or a plain database query is the better answer, we recommend that instead.
How We Work
Our proven engagement process ensures predictable outcomes from first conversation to final delivery.
1
Use-Case Validation
We define the task, the measurable outcome, and the data it depends on. If the use case does not clear that bar, we say so before any build starts.
2
Data Readiness Review
Sources are inventoried, access and quality are checked, and the retrieval layer (PostgreSQL with pgvector) is planned.
3
Prototype and Eval Harness
A working prototype is built against a small evaluation set, so quality is graded before the system grows.
4
Production Build
The pipeline is hardened: prompts and retrieval versioned, cost tracking wired, and human review placed where the stakes require it.
5
Monitoring and Handover
Evals run continuously in production, drift and spend are reported, and prompts and pipelines are handed over as owned assets.
Technologies We Use
The stacks we build on, chosen project by project.
LangChainpgvectorOpenAIAnthropicPythonTypeScriptNode.jsPostgreSQL
Frequently Asked Questions
Common questions about our ai development services. Can't find what you're looking for? Reach out to our team.
Questions Answered? Let's Talk.
Schedule a free consultation to discuss your ai development requirements and get a detailed project estimate.
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Build Your AI Development Solution
Our ai development specialists will review your requirements and return a detailed proposal with architecture recommendations, team allocation, and clear milestones, typically within one business day.