// the platform

One engine. Every product.

The shared AI infrastructure behind every Lorematics product — multi-agent orchestration, enterprise integration, LangOps guardrails, platform migration, and hybrid-workforce topology. Built once. Deployed across the portfolio. Available to you when we build with you.

// pillar 01 · multi-agent ecosystems

Orchestrated meshes, not monoliths.

Every agent in the mesh has a job description, a tool contract, and a routing policy. Watch a four-agent workflow execute end-to-end below.

See it in production
topologyn=6 nodes
trace6 events
// agent trace0/7 events
  1. // idle · press "Run workflow"
// pillar 02 · deep enterprise integration

From fragmented silos to one agentic pipeline.

We connect the systems your business already runs on — CRM, ERP, data warehouse, payment rails — into a single autonomous commerce path.

Before · fragmented siloslegacy
  1. ›POST /crm/legacy/v2/contacts
  2. ›GET /erp/orders?status=open
  3. ›POST /finance/invoice/draft
  4. ›GET /ticketing/inbox/today
  5. ›POST /email/send (manual copy-paste)
After · agentic pipelinelive
  1. ›agent.intent → resolveContact(crm)
  2. ›agent.plan → reconcileOrders(erp)
  3. ›agent.act → draftInvoice(finance)
  4. ›guardrail.eval(policy=AR-2)
  5. ›agent.commit → notifyOwner(email)

// every API stays. only the orchestration layer changes.

see the case study →retrieval deep dive →
// pillar 03 · langops & guardrails

Deterministic safety over probabilistic chaos.

Toggle Safety Mode and replay an adversarial prompt. The guardrail evaluator intercepts in deterministic time, not on a model's good day.

policiesINJ · PII · SCOPE · RATE
modedeterministic
// see the open eval bench →
langops · safety simulator
// select a prompt to evaluate
// pillar 04 · platform migration

From single-prompt chatbots to agent graphs and SDKs.

We map your existing chatbot to the right 2026-era tooling — LangGraph for graph-shaped work, agent SDKs for single-actor tool use, MCP underneath for portable integrations. Intent preserved, brittleness gone.

step 1 of 3

Today · single-prompt chatbot

  • One LLM call, no tool grounding
  • No memory across sessions
  • Failure surface = the model's bad day
  • No audit trail, no rollback
Recoverymanual
step 2 of 3

Interim · state-machine wrapper

  • Deterministic routing between intents
  • Tool calls with explicit schemas
  • Per-step logs and replay
  • Brittle when intents collide
Recoveryscripted
step 3 of 3

Lorematics · multi-agent topology

  • Specialized agents per task class
  • Routing policy + guardrail per edge
  • Replayable token traces, full audit
  • Hot-swappable nodes, zero-downtime
Recoveryautonomous
See a migration in productionAgentforce · Copilot · VertexScope a discovery sprint
// pillar 05 · hybrid workforce

Humans and digital agents in the same task graph.

Every task gets a lane: autonomous, assisted, or human-only. Explicit handoff topology means no silent failures.

// task ledger · digital3 mapped
  • 01Triage inbound support tickets
    97%
  • 02Reconcile mismatched invoices
    92%
  • 03Schedule outbound follow-ups
    95%

// every engagement starts by mapping your task graph.

run a discovery sprint →