Services & Technical Specifications
Engineering offerings architected for long-term reliability, transparent scoping, and deterministic performance.
The figures below represent transparent pricing ranges calibrated against technical complexity. All engagements begin with a focused scope definition.
AI Knowledge Assistants & Document RAG
Intelligent assistants answering operational, compliance, and procedural inquiries from internal repositories (regulations, SOPs, technical catalogs) with strict citation attribution and hallucination mitigation.
Instant access to operational answers grounded strictly in verified company source material.
- Hierarchical Markdown document structure parsing
- Hybrid search: Dense semantic vector + Sparse keyword matching
- Multilingual embedding models optimized for Indonesian and English
- Exact citation attribution (document title, article number, page index)
- Groundedness and factual hallucination checks
- Telemetry dashboard tracking unanswered queries and retrieval metrics
Model Context Protocol (MCP) Infrastructure
Standardized MCP server development enabling coding assistants and enterprise AI agents to access internal SQL databases, custom APIs, and file systems under strict, auditable permission controls.
AI agents execute practical tasks directly within your environment without unbounded permissions.
- SSE (Server-Sent Events) and stdio transport implementations
- Encrypted authentication (OAuth PKCE, scoped API tokens)
- Role-based access control (RBAC) preventing unauthorized modifications
- Compatible with Claude Desktop, Cursor, and custom agent runtimes
- Docker containerization deployable over private Tailscale networks
- Comprehensive JSON-Schema tool definitions with strict runtime validation
Financial Automation, Bank Reconciliation & ERPNext
Automated accounting workflows transforming raw financial records (bank notifications, PDF e-statements, supplier invoices) into verified double-entry journal vouchers in ERPNext.
Save tens of manual bookkeeping hours each month while eliminating duplicate entries and ledger discrepancies.
- Automated parsers for Indonesian bank statements (BCA, Mandiri, BSI, BRI)
- Hybrid matching: exact reference allocation & consolidated payment detection
- General ledger drift verification prior to voucher drafting
- Dual execution paths: auto-post for high confidence vs draft review for ambiguous rows
- Strict idempotency guaranteeing zero duplicate entries on repeated runs
- Custom DocType configuration and approval workflows in ERPNext
WhatsApp Operational Gateways & Assistants
Customer support and internal operational messaging gateways featuring database-level deduplication, multi-provider LLM cascade fallbacks, and seamless human operator handoff.
High-availability conversational gateways that never loop, stall, or duplicate responses.
- Meta Cloud API and private gateway integration
- Database-level webhook deduplication preventing double-send loops
- Multi-model LLM cascade routing ensuring zero downtime
- Automatic human operator escalation for out-of-scope inquiries
- Conversation state persistence and audit logging
Custom Internal Tools & Dashboards
Tailored web interfaces engineered specifically for operational reporting, field data collection, or real-time workflow status tracking without SaaS subscription bloat.
Tools built exactly around how your team works, with zero monthly per-seat licensing fees.
- Built on modern Next.js and type-safe TypeScript architectures
- Fully responsive for desktop terminals and mobile field devices
- Relational database persistence (PostgreSQL, SQLite)
- Secure authentication and role-based access management
- Sub-second load times free from bloated UI libraries
Self-Hosted Infrastructure & DevOps Retainer
Self-hosted deployment and maintenance on your private VPS or on-premises servers, utilizing containerization standards, SSL automation, and secure mesh networking.
Operational peace of mind with continuous monitoring, regular updates, and isolated data sovereignty.
- Docker and Docker Compose application containerization
- Nginx reverse proxy with automated Let's Encrypt SSL certificates
- Encrypted remote network access via Tailscale Mesh VPN
- Automated daily/weekly database and volume backup routines
- Uptime monitoring and priority technical incident response
How We Work
A structured, transparent engineering methodology from architecture scoping to production delivery.
Technical Audit & Problem Definition
We analyze your existing workflows, data schemas, and define operational boundaries precisely.
Architecture Specification & Pilot Scope
We draft the technical design document, select appropriate models and protocols, and define fixed-scope milestones.
Implementation & Verification
We develop the pipeline with automated tests, accuracy benchmarks, and safety guardrails.
Production Deployment & Handoff
Deployment to your private infrastructure, operator training, and comprehensive operational documentation.
Frequently Asked Questions
Fine-tuning is expensive and poorly suited for dynamic operational data like regulations, SOPs, or inventory catalogs. RAG enables instant knowledge updates simply by ingesting new documents into the vector database, while guaranteeing that every output includes traceable citations to the exact source paragraphs.
Model Context Protocol (MCP) is an open industry standard that connects AI models (such as Claude or custom agents) to your internal tools and data stores safely. The major benefit is reusability and isolation: you build one MCP server, and it can power multiple coding, research, or operational agents without rewriting custom integration code.
We enforce deterministic finite state machines and human-in-the-loop gates. The AI is only responsible for parsing and classification. Double-entry arithmetic, deduplication hashes, and ledger postings are strictly executed by deterministic code. If confidence drops below 95% or transaction amounts exceed set limits, the system halts and requires human confirmation before posting.
By default, our architectures are self-hosted. Your databases, MCP servers, operational logs, and web apps run on your private VPS or hardware. When queries are routed to LLM providers, only the necessary, sanitized context fragments are transmitted over encrypted TLS channels.
For custom AI and automation systems, we conduct 2–4 week pilot projects with pre-agreed deliverables and measurable success criteria. This lets you validate accuracy and reliability on your actual operational data before committing to broader organizational deployment.
Discuss Your Automation Requirements
Let's review your manual workflows or internal AI integration needs directly with our lead engineer.
Initiate Technical Discussion