ENTERPRISE AGENTIC RUNTIME V3.4 LIVE

We Engineer Autonomous AI Swarms That Outperform Human Ops.

Stop wasting headcount on mechanical repetition. Vexilos designs, builds, and maintains self-healing agent swarms, deterministic workflow pipelines, and enterprise LLM architectures.

Run 60s Readiness Test
vexilos-core :: orchestrator-node-01
STATUS: ACTIVE
99.8%
Schema Precision & Zero Drift
14ms
Edge Ingestion & Routing Latency
4.8x
Average Client Operational ROI
24/7
Autonomous Self-Healing Execution
CAPABILITIES

Battle-Tested AI Engineering

We don't build toys or glorified wrapper scripts. We build resilient operational infrastructure.

Autonomous Multi-Agent Swarms

Hierarchical agents that collaborate, plan dynamic DAG executions, cross-examine outputs, and execute real-world tool integrations autonomously.

  • Deterministic state machines & retries
  • Adversarial critic verification loops
  • Zero hallucination escape-hatches

Enterprise Workflow Automation

End-to-end integration between internal CRMs, ERPs, transactional databases, and legacy APIs with automated exception routing and self-healing.

  • 90%+ cycle time reduction
  • Salesforce, HubSpot, Stripe & SAP
  • Enterprise webhook dispatchers

AI Readiness & Architecture Audits

Thorough technical evaluation of your codebase, data lakes, security compliance, and LLM economic efficiency before writing a line of code.

  • Complete ROI & unit-cost model
  • SOC2 & PII Data Scrubbing plans
  • 14-day production blueprint deliverable
LIVE ENGINE

Interactive System Blueprints

Toggle through our production agent architectures to inspect topology and orchestration layers.

Autonomous Multi-Agent Swarm

Hierarchical orchestrator distributing specialized sub-tasks to deterministic worker agents with active verification loops.

Performance SLA
Zero-hallucination guardrails • 99.8% precision
EVALUATOR

Interactive AI Readiness Assessment

Answer 3 technical questions to determine your organization's highest ROI agent integration vector.

STEP 1 OF 3: DATA MATURITY

Where does your core operational data live right now?

STEP 2 OF 3: BOTTLENECK PROFILE

Where is your team bleeding the most human hours each week?

STEP 3 OF 3: ACCURACY & GUARDRAIL RIGOR

What is your tolerance for autonomous agent decision autonomy?

ASSESSMENT COMPLETE
85/100

Tier 1: High Velocity Agent Candidate

Your operations are ready for multi-agent autonomous deployment.

ECONOMICS

Calculate Your Autonomous Leverage

Model the direct cost savings and capacity unlocked by automating human mechanical bottlenecks.

Projected Annual Direct Savings
$409,500
Human Hours Saved
6,300 hrs/yr
Projected First-Year ROI
8.3x ROI
TRANSPARENT ENGAGEMENTS

High Speed. Zero Bloat. Direct Impact.

We partner with founders and CTOs who want working systems, not 80-page slide decks.

AI Architecture Audit

Comprehensive technical review of data flows, vector indexing, and security compliance.

$4,800 / one-time
  • 10-day turnaround
  • Full Technical Topology & DAG schema
  • Cost/token economic model
  • 100% credited toward build sprint
Enterprise AI Operations

Dedicated fractional AI engineering team running continuous upgrades, fine-tuning, and scaling.

$7,500 / month
  • Continuous prompt & model optimization
  • 24/7 telemetry monitoring & error healing
  • Dedicated Slack channel & 1hr SLA
  • Model migration (DeepSeek, Claude, OpenAI)
FAQ

Engineering Questions Answered

How do you guarantee agents won't hallucinate in production? +
We use strict structured output validation (Zod & JSON Schema enforcement), multi-layer adversarial critic agents that audit intermediate DAG steps, and deterministic fallbacks that route anomalous cases to human escalation before irreversible actions are taken.
Where do you deploy and host our agents? +
We deploy directly into your cloud infrastructure (AWS, GCP, Cloudflare Workers, or dedicated VPCs). You retain 100% intellectual property, code ownership, and data residency.
How fast can we go from scoping to live production agents? +
A standard Vexilos Build Sprint delivers a tested, deployed production agent swarm in exactly 3 weeks.
Which LLMs and models do you build on? +
We use model-agnostic routing. We combine DeepSeek R1 for heavy logical reasoning, Claude 3.5 Sonnet for tool calling and unstructured coding, and ultra-fast edge models (Llama 3.3 70B, Gemini Flash) for low-latency high-throughput tasks.