Built for reliability, speed, and measurable ROI
Every engagement is engineered directly by senior developers — with clear deliverables, transparent communication, and working demos every two weeks.
Internal Knowledge Assistants (RAG)
Private AI assistants trained on your SOPs, manuals, past proposals, and support tickets with exact source citations.
Intelligent Document, PDF & Invoice Processing
Automatically extract structured line items from messy PDFs, vendor invoices, bills of lading, and intake forms straight into your database or QuickBooks.
AI Customer Support & Lead Triage
Smart web chat, email drafting, and lead qualification assistants that answer routine questions accurately and hand off complex cases to your team.
Semantic Search & Automated Summarization
Vector search across thousands of company documents, call transcripts, or catalog items with instant natural-language answers.
How US small & mid-size businesses use this service
Staff spending hours manually reading PDF vendor invoices, medical/legal intake forms, or shipping manifests and typing fields into software.
An AI document extraction pipeline with confidence scoring and a 1-click human review queue.
Cuts document processing time by 80–90% while catching discrepancies automatically.
New employees and support reps constantly interrupting senior staff to ask where policies, pricing rules, or technical specs live.
A secure internal RAG assistant connected to your Google Drive, Notion, or PDF library that answers questions with direct links to the source page.
Instant answers for staff and faster ramp-up for new hires without exposing private data to public models.
Slow response times to inbound customer inquiries and RFQ emails outside business hours.
An AI triage agent that classifies inquiries, drafts accurate responses from your product catalog, and books discovery calls.
Under-2-minute response times 24/7 and higher lead conversion.
Common questions about AI & Automation
Is our private company data used to train public AI models?
No. We build using enterprise API tiers (OpenAI API / Anthropic Claude API) with zero data-training retention, and store your embeddings in your own private vector database (such as PostgreSQL/pgvector on Supabase or AWS).
How much does a custom AI assistant or document automation project cost?
Focused AI document processing pipelines or internal RAG knowledge assistants are typically estimated between $4,500 and $15,000 (20–25% below typical US AI consultancies) and launch in 2 to 6 weeks. Prices are estimates and will be adjusted based on data sources, security requirements, and project complexity.
How do you prevent AI hallucinations?
We use strict Retrieval-Augmented Generation (RAG) grounding, structured JSON schema outputs, deterministic validation rules, and source citations so the assistant only answers from verified company data.
Pick a Time on Our Calendar. Scoped in One Call.
Choose a 30-minute slot to talk with our team and get a custom plan, timeline, and estimate for your project.
Walk away with a clear technical plan, fixed timeline, and transparent quote.
See real progress every sprint, built around how your business actually runs.
Talk directly with the team building your Shopify store, custom app, or AI workflow.
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