AI Agents as a Service: Tailored Automation for Your Business
We don't build chatbots. We build entire autonomous AI workforces.
The Service
Discovery & Architecture
We audit and identify what to automate to design the system tailored to your business.
Agent Development
Custom agents with your domain knowledge, integrated with your tools via MCP, APIs, and RAG.
Deployment
Self-hosted or hybrid. On your infrastructure or ours with full monitoring from day one.
Management & Upgrades
Ongoing support, model migration, new roles, performance tuning. Or, run it yourself.
You Get Results
Measurable impact:
- —80% less manual work
- —24/7 autonomous coverage
- —Zero knowledge loss
- —Predictable scaling costs
Discovery & Architecture
We audit and identify what to automate to design the system tailored to your business.
Agent Development
Custom agents with your domain knowledge, integrated with your tools via MCP, APIs, and RAG.
Deployment
Self-hosted or hybrid. On your infrastructure or ours with full monitoring from day one.
Management & Upgrades
Ongoing support, model migration, new roles, performance tuning. Or, run it yourself.
You Get Results
Measurable impact:
- —80% less manual work
- —24/7 autonomous coverage
- —Zero knowledge loss
- —Predictable scaling costs
How We Compare
Our Agent FactorySelf-hosted platform + services | DIY FrameworksCrewAI, LangGraph, AutoGen, OpenAI SDK | Cloud AssistantsClaude Cowork, ChatGPT, Gemini | Coding AgentsClaude Code, Codex, Cursor | Agent PlatformsOpenClaw, Relevance AI | No-Code Toolsn8n, Dify, Make, Zapier | |
|---|---|---|---|---|---|---|
| Data Control | Full ownership | Your responsibility | Their cloud | Code local, prompts remote | Provider hosts | Mixed |
| Time to Production | Days to weeks | Months | Instant for chat | Hours for code tasks | Days to weeks | Hours for basics |
| Total Cost | Predictable | Team cost high | $20–200/user/mo | Per-seat or per-token | Per-agent pricing | Compounds |
| Customization | Unlimited | Unlimited (DIY) | Minimal | Deep for code only | Medium | Shallow |
| Maintenance | We handle it | All on you | Nothing to maintain | You manage context | Agent logic is yours | Complex = pain |
| Integration | Direct access | Code it all | Chat plugins only | IDE and codebase | Plugin marketplace | SaaS connectors |
| Scalability | No vendor caps | If engineered | Scales users, not agents | One dev = one agent | Easy but costly | Limited |
| Behavior Predictability | Deterministic | Depends on engineering | Unpredictable | Predictable for code | No guarantees | Rule-based parts only |
Building agents from scratch takes months. Cloud platforms own your data. Managed agent runtimes can't guarantee how your agents behave. No-code tools break on complexity.
We handle the hard parts so you ship working agents in weeks.
What Can Be Automated
Development
Code review, PR automation, bug fixes, refactoring, test generation, dependency updates, documentation
PR review: 2 hours → 15 min
SMM & Growth
Content plans, Telegram outreach, community engagement, cross-platform adaptation, analytics
10x content output, same team
SEO & Content
Keyword research, ranking analysis, RAG-powered generation, competitor monitoring, meta optimization
Content plans from real data
DevOps
Infrastructure monitoring, CI/CD, deployment, scaling, log analysis, anomaly alerts, auto-rollback
24/7 monitoring, no on-call
Customer Support
L1 tickets, FAQ, request routing, knowledge base, multilingual replies, L2 handoff summaries
80% tickets closed by agents
Research & Analytics
Data collection, market monitoring, competitor analysis, trend detection, executive summaries
Daily reports in minutes
Operations
Documentation, onboarding materials, process automation, meeting notes, compliance checks
Zero knowledge loss
Sales & Outreach
Lead scoring, personalized sequences, CRM enrichment, follow-up scheduling, pipeline forecasting
3x qualified leads per rep
Finance & Reporting
Invoice processing, expense categorization, budget alerts, cash flow forecasting, regulatory reports
Month-end close in hours
Before vs After
Without Agents
- Team buried in repetitive ops
- Hours lost to manual research & reporting
- Disconnected tools held together with duct tape
- Growth means hiring, onboarding, waiting
- AI hallucinates - no one trusts the output
- Tribal knowledge walks out the door with every quit
With Our Agent Factory
- Agents run workflows 24/7
- Structured insights delivered in minutes
- Unified autonomous workforce across your stack
- Growth means deploying an agent today
- RAG-grounded agents use only your verified data
- Persistent memory - zero knowledge loss, ever
Our AI Workforce
Our first client was ourselves.
Our AI Workforce is running in production: √√ççValidatorInfo.com is powered by self-hosted AI agents handling growth, development, outreach, monitoring, and more.
This is the architecture of our own, running and working, Agent Factory. We develop agents for any tasks that can be automated and architectures to meet any demands
Agent Factory
Orchestrator
Proactive
SEO RALPH
- Content strategy from RAG data
- Keyword research
- Ranking analysis
Proactive
Dev RALPH
- Code analysis
- PR review
- Architecture decisions
Proactive
DevOps RALPH
- Infrastructure monitoring
- Performance analysis
- Incident detection
Reactive
SMM + TG Growth
- Community engagement
- Telegram outreach
- RAG-grounded content
Reactive
Dev Agent
- Bug fixing
- Implementation
- Testing
Reactive
DevOps Agent
- CI/CD pipelines
- Deployment automation
- Scaling
Shared Infrastructure
RAG
Agents grounded in verified data, zero hallucinations
Skills
Reusable prompts & workflows
MCP Tools
Connectors to databases, APIs, external systems
Memory
Persistent context, logging, audit trail
Agent Factory
Orchestrator
Proactive
SEO RALPH
- Content strategy from RAG data
- Keyword research
- Ranking analysis
Reactive
SMM + TG Growth
- Community engagement
- Telegram outreach
- RAG-grounded content
Proactive
Dev RALPH
- Code analysis
- PR review
- Architecture decisions
Reactive
Dev Agent
- Bug fixing
- Implementation
- Testing
Proactive
DevOps RALPH
- Infrastructure monitoring
- Performance analysis
- Incident detection
Reactive
DevOps Agent
- CI/CD pipelines
- Deployment automation
- Scaling
Shared Infrastructure
RAG
Agents grounded in verified data, zero hallucinations
Skills
Reusable prompts & workflows
MCP Tools
Connectors to databases, APIs, external systems
Memory
Persistent context, logging, audit trail
How Pricing Works
Pricing depends on four factors:
Agent Configuration
Number and type of agents set the base scope.
- —Each domain gets a RALPH (proactive) + Reactive agent pair
- —Agent Factory orchestrator coordinates multi-domain setups
- —More domains = broader automation coverage
Infrastructure
Where and how your agents run.
- —Self-hosted on your servers or managed by us
- —RAG pipeline, vector database, persistent memory
- —LLM API costs depend on provider and usage
Integration Complexity
How deeply agents connect to your existing systems.
- —MCP connectors to databases, APIs, and internal tools
- —Custom tool development for domain-specific workflows
- —Number of external systems and data sources
Ongoing Management
Optional — you can run everything yourself.
- —Model migrations and performance tuning
- —Monitoring, incident response, agent updates
- —New agent roles and capability expansion
Typical Deployment Scales
Single Department
1 agent pair, 1 domain — e.g. Development or SEO
Multi-Domain Team
3 agent pairs + orchestrator — e.g. Dev + SMM + DevOps
Full AI Workforce
6+ agent pairs, full domain coverage with shared infrastructure