[ SERVICES ]
What we build.
Six areas of work. Each project starts from your process and your documents, and ends with an agent your team can check.
[ 01 ]
AI agent development
- What it is
- Agents that read, extract, compare and draft inside a defined process.
- Typical input → output
- Reports, filings, emails, data exports → structured results with sources.
- Controls we add
- Source trace, code-level checks, review queue, logging.
- Good fit when
- A team repeats the same multi-step task and needs the result to be checkable.
[ 02 ]
Workflow automation
- What it is
- Routine steps connected end to end, with approvals where a person must decide.
- Typical input → output
- Incoming files and requests → prepared outputs, notifications, updated records.
- Controls we add
- Approval gates, audit log, error handling that stops instead of guessing.
- Good fit when
- Work moves between people and tools by copy and paste.
[ 03 ]
Financial research and analysis
- What it is
- Research support that collects, summarizes and compares material with citations.
- Typical input → output
- Filings, reports, transcripts → sourced summaries and comparison tables.
- Controls we add
- Quote verification, explicit "not found" answers, analyst sign-off.
- Good fit when
- Analysts often spend hours finding and re-keying facts. We do not provide investment advice.
[ 04 ]
Document processing automation
- What it is
- Extraction from PDFs and scans into spreadsheets or a database.
- Typical input → output
- Statements, contracts, data-room files → tables with page references.
- Controls we add
- Totals and tie-out checks, trace sheet, list of unresolved items.
- Good fit when
- Documents arrive in many layouts and manual entry is the bottleneck.
[ 05 ]
LLM applications and RAG
- What it is
- Assistants and search over your own documents.
- Typical input → output
- Questions in plain language → answers with links to the passages used.
- Controls we add
- Evaluation sets, answer-or-abstain behavior, access rules.
- Good fit when
- Knowledge sits in documents that people cannot search well.
[ 06 ]
Private and local deployment
- What it is
- Open-source models run inside your own environment.
- Typical input → output
- Sensitive documents stay on your infrastructure; results come back to your team.
- Controls we add
- Network isolation, access logging, model and version records.
- Good fit when
- Data cannot be sent to an external API.
[ CONTACT ]
Send a brief Tell us what you do by hand today.
A written brief is enough to start.