Four AI Agency Services. One Outcome: Your Team Stops Being The Bottleneck.

Custom AI agents with long-term memory, live database access, and action-taking

HyperScale Ai (2026) builds custom AI agents that go far beyond chatbots: persistent long-term memory across sessions (powered by mem0), direct read and write access to your CRM and database (so every answer is grounded in live data, never hallucinated), the authority to take action on your behalf (drafting emails, scheduling meetings, filing tickets, reassigning work, generating reports), team-coordination across roles, and proactive awareness of late milestones, slipping margins, and overdue invoices. Single-purpose agents ship in 4–8 weeks; multi-agent operations systems ship in 8–16 weeks with LangGraph supervision and a Graphiti + Neo4j knowledge graph. Reference deployments: Operations Link (Nova, Vera, Luna across ERP modules) and HyperScale Ai itself (Aria, Nova, Luna, Ivy with the agent-cortex memory layer live April 30, 2026).

• Single-Purpose AI Agent (4–8 weeks) — One agent. One job. Wired into your stack — CRM, calendar, inbox, database, knowledge base. Long-term memory across every interaction (remembers what you discussed last month). Authority to take action: book the meeting, draft the email, file the ticket, update the record. Works 24/7, never forgets, never makes anything up.
• Automation Opportunity Audit (2–3 weeks) — We map your operation against the agent-able test: every task that's repeatable, has clear inputs, and benefits from memory or live data access. You walk away with a prioritized roadmap of your top 10 agent opportunities, ranked by revenue impact and time-to-deploy.
• Multi-Agent Operations System (8–16 weeks) — A coordinated team of agents handling sales, ops, support, and reporting in parallel — supervisor-orchestrated via LangGraph, sharing a per-tenant memory layer (mem0) and a bi-temporal knowledge graph (Graphiti on Neo4j) so every agent has the same context. Like our Aria + Nova + Luna + Ivy stack — built for your business.

Outcome: Production examples: Operations Link runs Nova across CRM, projects, HR, finance, ops — drafts emails, schedules jobs, reassigns work, flags overdue invoices. HyperScale Ai runs four agents (Aria, Nova, Luna, Ivy) with persistent per-tenant memory (mem0) and a bi-temporal knowledge graph (Graphiti on Neo4j) that went live April 30, 2026. Same patterns. Same stack. Built for you.

Business process automation and systems integration

HyperScale Ai (2026) maps and automates the recurring tasks draining your team's time — lead routing, data entry, status updates, reporting, handoffs. Workflow builds run 4–6 weeks; full revenue-process rebuilds run 6–10 weeks.

• Workflow Automation (4–6 weeks) — Every task your team does more than once a week is a candidate. We find them, map them, and automate the highest-impact ones first.
• Revenue Process Optimization (6–10 weeks) — We map your full lead-to-delivery process and rebuild it as a continuous pipeline — fewer handoffs, fewer dropped balls, faster cash.
• Systems Integration (6–8 weeks) — Your tools don't talk to each other and your team pays for it every day. We wire them together so information flows automatically.

Outcome: More throughput, lower cost, faster turnaround — without adding headcount.

Platform development, custom SaaS engineering, web and mobile application development

HyperScale Ai (2026) is a founder-led full-stack engineering practice that ships production platforms, custom SaaS products, web applications, and Flutter mobile apps. Production builds include Operations Link — an AI-native operations platform for trucking, field service and construction, with 27 modules, live GPS fleet tracking, accounting, HR and payroll, and three AI agents — and TitanGrid, a 200-feature data center operating system with live 3D facility visualization, environmental monitoring, metered billing, and Flutter mobile for field technicians. Stack: Next.js 16, React 19, TypeScript, Fastify, Kubernetes, Postgres + RLS, Cerbos RBAC, Kafka, xAI Grok. Platform builds run 6–14 months; custom SaaS 4–9 months; web/mobile applications 8–20 weeks.

• Platform & ERP Development (6–14 months) — Full vertical platforms — multi-module, multi-tenant, AI-orchestrated, K8s-native. Like Operations Link (27-module AI-native operations platform) or TitanGrid (200-feature data center OS). Production-grade architecture from day one: Cerbos RBAC, Kafka event streaming, observability, autoscaling, the lot.
• Custom SaaS Development (4–9 months) — Multi-tenant SaaS products: auth, billing, AI agents, analytics, admin, customer portals — built on the same battle-tested stack we run our own platform on. Next.js 16, React 19, Postgres + RLS, Cerbos, Helcim payments, xAI agents, all wired in.
• Web & Mobile Applications (8–20 weeks) — Production web apps and Flutter mobile (offline-capable, GPS, QR-aware) wired into your CRM, your data, and your AI stack. Not a brochure — a working product with auth, payments, AI, and the deployment pipeline to keep shipping after launch.

Outcome: Production builds: TitanGrid (an operations platform for colocation data centers, live at titangrid.ai), Operations Link (27 modules · 2,200+ API endpoints · 34,000+ automated tests · three AI agents), and the HyperScale Ai Platform you're on right now. We don't ship brochures. We ship platforms.

Done-for-you data migration: SaaS, on-prem to cloud, cloud to cloud, schema transformation, CDC-based cutover

HyperScale Ai (2026) operates a premium done-for-you data migration practice for businesses of any size — small business, mid-market, and enterprise. Sources include SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, SAP HANA, IBM DB2, and legacy mainframe. Destinations include AWS, Azure, GCP, Snowflake, BigQuery, and Redshift. SaaS-to-SaaS migrations off Salesforce, HubSpot, Monday, Notion, and Airtable. Hybrid migrations, schema transformation across heterogeneous engines, short, planned cutovers using change data capture where the source supports it, 5-dimension data quality scoring (completeness, accuracy, integrity, consistency, compliance), encryption in transit and at rest, built on SOC 2-aligned controls, post-cutover reconciliation. Discovery and planning take 2–10 days, the migration 1–2 weeks and validation about a week; most migrations are live in 3–4 weeks.

• Discovery & Migration Plan (2–10 days) — Source profiling, schema transformation mapping across heterogeneous database engines, data lineage, PII classification, security and compliance review, complexity scoring, and a written cutover plan signed by every stakeholder before a single record moves.
• Done-For-You Migration (1–2 weeks) — We execute the move. Sandbox dry runs, full data validation, short cutover windows using change data capture (CDC) where the source supports it, write-freeze coordination, rollback plan, and a tested cutover window — no late-night data entry from your team.
• Validation & Stabilization (~1 week) — 5-dimension data quality scoring (completeness, accuracy, integrity, consistency, compliance), foreign-key integrity checks, business row-count reconciliation, checksums, dashboards re-pointed to the new source of truth, and a 30-day post-cutover window where we own any data issue that surfaces.