StackRa Ecosystem v1.0
Move beyond standard chatbots. We engineer multi-agent systems that autonomously reason, write code, query private databases, and trigger business APIs with deterministic guardrails and full audit trails.
AI Agent Automation Services by StackRa Agency engineers secure, VPC-isolated multi-agent swarms (powered by LangGraph, CrewAI, and Qdrant) that automate manual engineering, financial reconciliation, and customer operations with zero data retention on public frontier models.
Rust AST & PR Audit
Qdrant Vector Mesh
Odoo / Stripe Sync
PII Mask & SOC2 Gate
Interactive AI Playground
Select a real-world enterprise workflow scenario to inspect our multi-agent reasoning trace, tool calling executions, and deterministic outputs live.
Querying Prometheus egress metrics against Karpenter node allocation history for the past 24 hours...
CloudWatch.QueryMetricData(MetricName='BytesOut', Granularity=300)finops_agent.detect_orphaned_resources(threshold=0.20)Identified unattached gp3 EBS volume (4TB) and idle NAT Gateway in test-vpc consuming $482/week.
Automated remediation runbook executed: 2 orphaned resources deprovisioned. Estimated annual savings: $25,064.
Core Practices
Production-grade multi-agent architectures purpose-built to solve high-friction operational problems across software, data, and finance.
Stateful, cyclic multi-actor architectures with deterministic role division, persistent memory, and resilient fallback loops designed for complex business operations.
Capabilities:
Context injection using hybrid sparse/dense embeddings, cross-encoder re-rankers, and contextual chunking to eliminate hallucinations on proprietary data.
Capabilities:
Autonomous triage agents that analyze incoming customer tickets, classify sentiment, query internal knowledge graphs, and execute verified resolutions around the clock.
Capabilities:
Autonomous coding agents that review pull requests, perform library migrations (e.g. Next.js App Router, React 19), and enforce strict architectural conventions.
Capabilities:
Autonomous agents that reconcile high-volume payment processor transactions across Stripe, bank feeds, and enterprise ERP ledgers (Odoo, ERPNext, SAP) seamlessly.
Capabilities:
Deploy self-hosted frontier open-source LLMs (Llama 3, DeepSeek, Mistral) on private VPC hardware using vLLM and TensorRT-LLM with zero third-party telemetry.
Capabilities:
Enterprise Guardrails
Built for SOC2 and HIPAA regulated workloads. Your corporate intellectual property never leaks into public foundation models.
Your company prompts, documents, and customer records are never used to train public frontier models. We mandate zero-retention enterprise API contracts.
Sensitive customer data (names, payment info, social security numbers) is cryptographically tokenized and masked prior to any LLM reasoning invocation.
High-risk operational actions—such as financial payouts over $1,000 or production code deployments—pause the graph and mandate human approval.
Every single agent reasoning step, tool call, input prompt, and executed action is cryptographically signed and stored in immutable compliance audit logs.
Transparent Pricing
Transparent fixed-sprint pricing. Complete code ownership, LangGraph state charts, and zero proprietary runtime lock-in.
A focused 2-week sprint to engineer, validate, and deploy a production-ready autonomous agent for your highest-friction workflow.
Included Architecture:
End-to-end multi-agent orchestration coordinating multiple specialized workers with custom ERP, CRM, and internal API tooling.
Included Architecture:
Dedicated AI engineering pod managing continuous fine-tuning, air-gapped on-premise model hosting, and dedicated SRE operations.
Included Architecture:
Frequently Asked Questions
Schedule a 30-minute discovery call directly with our Principal Systems Architect. We will map your manual bottlenecks into an autonomous multi-agent architecture within 48 hours.
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