AI systems you can see, measure, and trust
We engineer AI that is observable from day one, gets cheaper the more you use it, and runs in production without surprises. Not demos. Not strategy decks. Working systems.
Every AI operation tracked, measured, and auditable in real time
60-90%
Cost reduction through intelligent distillation of repetitive AI calls
3-6 wk
First production deployment for scoped agent workflows
Provider-agnostic architecture. Swap AI backends without rewriting code.
Trusted by companies in
What We Build
AI that works. Systems that scale.
We build production AI systems for companies that need results, not prototypes. Every system ships with full observability, cost intelligence, and the engineering discipline to run reliably at scale.
Intelligent Agent Systems
Multi-agent architectures with 50+ specialized agents that decompose tasks, coordinate autonomously, and self-optimize. Hierarchical, mesh, and pipeline topologies for different problem shapes.
Workflow Automation
End-to-end pipeline automation that chains discovery, production, and distribution. Provider-agnostic architecture that swaps AI backends without rewriting code.
AI Platform Development
Multi-tenant SaaS platforms with enterprise-grade isolation, real-time capabilities, and closed-loop analytics. Integrates with your existing systems: Salesforce, SAP, internal databases, legacy APIs.
AI That Gets Cheaper Over Time
Intelligent distillation, a process that converts expensive AI model calls into fast, deterministic functions based on observed patterns, turns repetitive AI operations into near-zero-cost execution. Your system gets smarter and cheaper with every run, not more expensive.
Full Observability Stack
Real-time cost tracking, quality metrics, decision audit trails, and anomaly detection. Every AI operation is instrumented from day one. You see exactly what your AI is doing, what it costs, and whether it's improving.
Security-Aware Design
Data handling best practices, role-based access, audit trails for compliance. We design for SOC 2 readiness and build with regulated industries in mind from the start.
Who We Work With
We don't just consult.
We build.
Every system we deliver is built using the same AI-native methodology we use internally. Our engineering runs on multi-agent orchestration, observable operations, and continuous cost optimization.
We work best with small and medium businesses that have outgrown AI experiments and need systems that run in production, integrate with existing infrastructure, and deliver measurable ROI.
Content Operations
Automated content pipelines that handle discovery, production, and distribution at scale
Financial Workflows
Intelligent document processing, compliance automation, and risk analysis with full audit trails
Operations & Logistics
Demand forecasting, routing optimization, and exception handling powered by coordinated agent systems
[14:23:01] orchestrator Spawning 47 specialized agents
[14:23:01] agent:classifier Processing 2,847 items...
[14:23:03] distiller Pattern match: 73% eligible for distillation
[14:23:04] cost-tracker $0.84 saved via distillation (cumulative: $4,271)
[14:23:04] quality Output accuracy: 98.7% | Drift: none
[14:23:06] agent:builder Implementing solution...
[14:23:08] agent:reviewer Quality check passed (3 agents reviewed)
[14:23:09] orchestrator All agents converged. Deploying.
[14:23:10] status Complete ✓ Cost: $0.037 | Latency: 9.2s _
Why It's Different
We are our own first client.
Our own engineering runs on the same multi-agent systems, observability infrastructure, and cost optimization we deliver to clients. Every tool has been battle-tested internally before we ship it.
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Specialized agents in our own development environment, coordinating daily across planning, building, review, and deployment.
0%
Of our own AI operations have been distilled from LLM calls to deterministic functions, cutting costs while maintaining quality.
Every call
Is tracked: model used, tokens consumed, cost, latency, and output quality. We practice what we preach, with receipts.
Results
What clients can expect
Based on our internal systems and client engagements, here are typical outcomes.
0%
Cost reduction
Through intelligent distillation of AI operations into deterministic functions
3-6 weeks
To production
Working systems deployed, not strategy decks delivered
0%
Knowledge transfer
Your team owns and operates the system from day one
Frequently asked questions
What does Zylver Solutions do?
Zylver Solutions is an AI consulting and engineering firm based in Austin, TX. We build production-grade AI systems including multi-agent architectures, workflow automation pipelines, AI-powered platforms, and cost optimization solutions for small and medium businesses.
How much does AI consulting cost?
AI consulting costs vary by scope. Zylver offers a free 30-minute discovery call, followed by a focused 1-2 week Discovery Sprint. Production deployments happen in 3-6 weeks. We design every system with cost optimization built in, so your AI spend decreases over time.
Where is Zylver Solutions located?
Zylver Solutions is headquartered in Austin, Texas. We serve clients across the United States, working both on-site and remotely depending on engagement requirements.
How is Zylver different from other AI consulting firms?
We build production systems, not strategy decks. We ship in 3-6 weeks with full observability. Our intelligent distillation makes costs decrease over time. And we use the same multi-agent systems internally that we deliver to clients.
Let's build something that matters.
Whether you need to automate a critical workflow, build an AI-native platform, or get your AI costs under control, let's talk. No pitch decks. Just an honest conversation about what's possible.