# Vector Dynamic — Full Technical & Operational Documentation > Vector Dynamic is an independent engineering firm that builds and maintains custom software platforms, business systems (ERP), applied AI workflows, and automation pipelines for growing B2B companies worldwide. Website: https://vectordynamic.com Contact: info@vectordynamic.com Live Collaboration Window: Fixed daily 4-hour live overlap with US, UK, European, Gulf, and APAC business hours --- ## 1. Company Philosophy & Standards - **100% Client Code & IP Ownership:** All custom code, database schemas, prompt engineering, and test suites are committed directly into client-owned GitHub or GitLab repositories and deploy to client-owned cloud accounts from week one. - **Fixed-Price Milestone Delivery:** Projects are scoped and priced upfront on verifiable milestone deliverables—eliminating open-ended hourly billing creep. - **Radical Weekly Transparency:** Clients receive a working staging release, a live walkthrough demo, and a concise written Friday Engineering Report every single week. - **Direct Senior Builders:** Clients speak and collaborate directly with senior engineers designing and writing the system. No junior subcontractors or intermediate non-technical account managers. --- ## 2. Core Practice Areas ### Custom Software and Platforms (URL: https://vectordynamic.com/services/custom-software) - **Summary:** Web platforms, B2B SaaS products, internal operations tools, and mobile apps—plus the APIs that connect them cleanly to the rest of your stack. - **Target Bottleneck:** Solves operational friction where off-the-shelf software forces teams into manual workarounds or messy spreadsheets. ### Business Systems and ERP (URL: https://vectordynamic.com/services/erp) - **Summary:** Replace disconnected spreadsheets and fragile logins with one dependable system for orders, inventory, finance, and staff. - **Target Bottleneck:** Solves operational friction where off-the-shelf software forces teams into manual workarounds or messy spreadsheets. ### Applied AI and Production Agents (URL: https://vectordynamic.com/services/ai) - **Summary:** Software with AI wired into the real workflow: grounded knowledge search, document extraction, and tool-using agents with hard cost and accuracy guardrails. - **Target Bottleneck:** Solves operational friction where off-the-shelf software forces teams into manual workarounds or messy spreadsheets. ### Workflow Automation and Integration (URL: https://vectordynamic.com/services/automation) - **Summary:** End-to-end automation and API integrations that remove repetitive data entry, manual approvals, and hand-built weekly reports. - **Target Bottleneck:** Solves operational friction where off-the-shelf software forces teams into manual workarounds or messy spreadsheets. --- ## 3. Production Proof & System Architectures ### SyncDaily (Live in production) — AI-Powered Software and Agents - **Case Study URL:** https://vectordynamic.com/work/syncdaily - **Headline:** An autonomous ingestion, AI curation, and SEO publishing pipeline running continuously in production. - **Architecture Overview:** SyncDaily ingests high-volume technical sources, deduplicates stories, runs multi-stage LLM summarization with schema validation, and serves low-latency REST and sitemap feeds. - **Stack:** Python Backend API, Structured LLM Extraction, PostgreSQL, Automated Worker Queues, Next.js App Router, REST & Sitemap Endpoints - **Key Takeaways:** * Never call an LLM before deterministic deduplication and input cleaning—pre-filtering cut wasted model calls dramatically. * Treat every model output as untrusted external input: validate against a strict schema and quarantine failures instead of publishing broken records. ### Okebase (Internal platform) — Business Systems and ERP - **Case Study URL:** https://vectordynamic.com/work/okebase - **Headline:** Modular business operating system unifying sales, multi-location inventory, suppliers, staff, and live profit-and-loss. - **Architecture Overview:** Designed for growing wholesale, distribution, and multi-branch B2B operators outgrowing disconnected spreadsheets without needing a bloated six-figure legacy ERP. - **Stack:** Modular Monolith Architecture, PostgreSQL Relational Ledger, Role-Based Access Control (RBAC), REST APIs, Real-Time Reporting Views - **Key Takeaways:** * In ERP engineering, auditability beats cleverness: append-only stock and financial ledgers prevent silent reconciliation nightmares months later. * Operators adopt fast keyboard-friendly tables and clear exception flags far faster than decorative chart dashboards. ### Opsera (Internal platform) — Custom Software and Platforms - **Case Study URL:** https://vectordynamic.com/work/opsera - **Headline:** Multi-workspace project orchestration connecting tasks, SLA alerts, and engineering tools in one operational view. - **Architecture Overview:** A multi-tenant B2B SaaS platform demonstrating clean workspace isolation, real-time deadline risk detection, and two-way webhook synchronization across Slack, GitHub, and Jira. - **Stack:** Next.js & React, Node / Python API Services, PostgreSQL, Webhook & Queue Workers, Slack, GitHub & Jira APIs - **Key Takeaways:** * Third-party webhooks always arrive out of order or twice eventually—designing every integration around idempotency keys saves weeks of production firefighting. * Multi-tenant permissions belong in the data-access layer, never scattered across UI conditionals. ### AdVantage AI (Internal platform) — Workflow Automation and Integration - **Case Study URL:** https://vectordynamic.com/work/advantage-ai - **Headline:** Closed-loop campaign automation pairing AI creative workflows with live ad-spend guardrails. - **Architecture Overview:** Automates campaign preparation, Meta Marketing API dispatch, performance ingestion, and rule-governed budget alerts with mandatory human approval gates. - **Stack:** Workflow Orchestration Engine, Meta Marketing API, LLM Structured Drafting, PostgreSQL, Automated Alerting - **Key Takeaways:** * Any automation touching real money must separate AI suggestion from deterministic execution—hard-coded spend limits are mandatory. * Side-by-side batch review cuts human approval time from 45 minutes to 3 minutes while keeping 100% editorial control. ### AI Receptionist (Pilot ready) — Workflow Automation and Integration - **Case Study URL:** https://vectordynamic.com/work/ai-receptionist - **Headline:** Low-latency voice intake assistant that answers calls, qualifies leads, books calendar slots, and syncs CRM. - **Architecture Overview:** Built for service businesses, clinics, and operations teams that miss high-intent inbound phone calls after hours or during peak dispatch windows. - **Stack:** Streaming Voice Pipeline, Telephony / SIP Webhooks, Function-Calling LLM, Cal.com / Google Calendar API, CRM Webhook Sync - **Key Takeaways:** * Voice latency budgets are unforgiving: concise prompts, streaming audio, and fast local tool lookups determine whether callers stay on the line. * Giving the voice agent a clear "I will connect you with our team right now" fallback builds far more caller trust than bluffing. --- ## 4. Engagement Ladder & Pricing Bands 1. **Phase 1: Systems Review (Free for qualified B2B teams)** - Turnaround: 1–2 weeks - Deliverable: 2–4 page written technical brief, workflow bottleneck map, 3 quick wins, target architecture, and fixed quote. - URL: https://vectordynamic.com/audit 2. **Phase 2: Fixed-Price Build Sprints** - Workflow automations & integrations: from $5,000 to $12,000 - Core business platforms, ERP modules & production AI: from $15,000 - Timeline: 4–8 weeks typical per milestone sprint. - URL: https://vectordynamic.com/book 3. **Phase 3: Managed Operations & Dedicated Pods** - Managed operations & SLA monitoring: from $1,500/month - Dedicated engineering pods (2–4 senior engineers): flexible monthly retainers scaled to roadmap velocity. - URL: https://vectordynamic.com/how-we-work --- ## 5. Frequently Asked Questions (FAQ) ### Q1: How do we collaborate across US, UK, European, or APAC time zones? We lock a fixed 4-hour daily live overlap window with your business hours for standups, architecture reviews, and pairing. Outside that window, asynchronous progress continues so you wake up to tested pull requests—plus a structured written engineering report and live demo every Friday. ### Q2: Who owns the source code, intellectual property, and data? You do. Your company data is always 100% yours, and 100% of the custom software and business logic we write for your project transfers to you upon milestone payment—committed directly in your Git repository and cloud accounts. If we optionally include pre-built Vector Dynamic internal modules to cut your build time and cost, you receive a perpetual, royalty-free commercial license with full source code access, agreed in writing upfront. ### Q3: How do you protect our company data and credentials? We sign a mutual NDA before reviewing internal systems. Access follows least-privilege roles, secrets stay inside your own cloud vault, AI integrations use commercial API tiers that exclude training on customer data, and temporary credentials are revoked at handover. ### Q4: Will we deal with account managers or the actual engineers? You speak directly with the senior engineers designing and writing your system—from the first 30-minute discovery call through production launch. There is no sales handoff to junior subcontractors. ### Q5: Will we be one of your early clients? We are a focused, young engineering company, and we state that plainly. That is exactly why we structure engagements around a free upfront Systems Review, fixed milestone pricing, code in your repository from week one, and weekly demos on real data—so your risk stays small and verifiable at every step. ### Q6: Can you integrate with or extend our existing ERP, CRM, or legacy codebase? Yes. Most engagements connect to or modernize software you already rely on—such as Shopify, HubSpot, Salesforce, QuickBooks, Xero, Odoo, custom PostgreSQL databases, or aging internal web apps. When an off-the-shelf tool solves the problem cheaper than custom code, we tell you in the review. ### Q7: What does a typical project cost? Every build is quoted at a fixed price after discovery so there are no hourly surprises. Focused workflow automations and integrations typically range from $5,000 to $12,000; custom web platforms, ERP modules, and production AI systems typically start at $15,000 and scale with scope. Ongoing managed operations start at $1,500/month, and the initial Systems Review is free for qualified B2B teams. --- ## 6. How to Connect - Discovery Call (30 mins): https://vectordynamic.com/book - Free Systems Review Request: https://vectordynamic.com/audit - Partnership & Agency Collaboration: https://vectordynamic.com/partners - General Inquiries: info@vectordynamic.com