Festi Agentic AI Platform
Build governed, production-ready Agentic AI systems on your own infrastructure. Free to use independently or delivered end-to-end by our Senior engineers.
What You Can Build with Festi Agentic Platform
Ship faster without losing control. Coordinate code generation, review, and validation across your pipeline so speed does not create quality debt downstream.
Keep messaging consistent at scale. Agents plan, generate, and distribute content across channels while staying aligned with your brand and strategy.
Never miss a follow-up. Agents qualify leads, generate proposals, and handle routine outreach automatically so your sales team focuses on closing, not admin.
Resolve issues faster without growing your team. Agents retrieve the right information, trigger the right actions, and escalate only what needs a human.
Stop doing the same work twice. Agents handle data processing, reporting, and cross-system updates so your operations team spends time on decisions, not repetition.
Get structured answers, not raw data. Agents gather, compare, and synthesise information from multiple sources into clean, repeatable outputs your team can act on.
Works With Your AI Stack
OpenAI
Azure OpenAI
Pinecone
Weaviate
Hugging Face
Mistral AI
Cohere
Gemini
Amazon Bedrock
Anthropic
Why most Agentic AI solutions never reach production
Modern AI tools like Claude Code, Codex, and similar coding assistants dramatically increase development speed. Teams generate more code than ever.
But this creates a new problem. The bottleneck does not disappear. It shifts.
Instead of slowing down in development, teams start struggling with:
- Code review overload
- Product management alignment
- QA capacity and validation
- Integration and consistency issues
Faster code generation creates pressure on every downstream stage of the delivery pipeline.
From first agent to full production system
Agentic systems do not fail because of code generation. They fail because there is no structure to manage what comes after.
Festi introduces a central orchestration layer that brings order to the entire AI delivery pipeline. Agents become governed components within a unified system. Code generation stays fast. Review, QA, and integration stay controlled. Your team owns the output from day one.
What was previously a fragmented process becomes a reliable, scalable system your business operates independently.
How We Work
Five stages from concept to internal ownership.
AI Engineering Highlights
Your support agents stop making up answers. Knowledge Layer pulls responses only from your approved docs. Teams typically see 30-70% fewer hallucinations on covered workflows, which means fewer escalations and less time spent fixing AI mistakes.
Supports Claude, Gemini, OpenAI, and coding-focused models in one setup. Tasks can route to the best model for quality, speed, and credit cost, without rebuilding the workflow.
Lets multiple agents share work in a controlled way, with clean handoffs between steps like triage, drafting, and approval. This helps complex workflows stay organized and reliable.
A reusable set of prompt patterns and task templates that teams can share and version. It reduces output drift and makes updates easier to review and improve over time.
A safe shipping process for prompt, tool, and model changes, similar to how teams deploy code. Updates go through checks and reviews so production behavior does not change silently.
Tracks quality, cost, latency, and failure rates in production, not just in demos. Scoring tests and alerts surface regressions early so teams can fix issues before impact grows.
Two ways to get started
Self-managed
Use the Festi platform independently on your own infrastructure. Full control, no dependencies.
- Full access to the Festi platform source code
- Deploy on your own infrastructure
- Community support & documentation
- No vendor lock-in
Done with you
We set up, govern, and hand over a production-ready system. Senior engineers, fixed scope.
- We set up and govern a production-ready system
- Hands-on delivery by senior engineers
- Full handover with documentation & runbooks
- Team enablement workshops included
Packages & Pricing
Built for teams that are ready to move beyond experimentation.
Fixed-scope engagements. Senior-level delivery. Measurable outcomes — not promises.
$1,800
Discovery
For teams evaluating Agentic AI and needing a clear starting point.
- AI Adoption Maturity Level Assessment
- AI infrastructure principles & architecture approaches
- Development process recommendations & integration guidance
- Risk & use-case prioritization
- Written roadmap + next-step plan
- 1× stakeholder Q&A session (2 hrs)
Outcome: Your team leaves with a clear, actionable plan — not a generic whitepaper.
Note: Discovery fee is fully deductible when you upgrade to any higher tier.
$9,800
Core Build
Production-ready Agentic AI for a defined business domain.
- AI infrastructure design and setup including models, MCP, tools and integrations
- Multi-agent system (2-3 agents) with A2A communication
- Knowledge Base audit, design roadmap & setup recommendations
- Code Base audit on AI output quality to optimize and maximize agent productivity
- Team enablement workshop + runbook & handover documentation
Outcome: A working, governed agent system your team can operate and extend independently.
$22,000
Platform
Enterprise-grade agent platform.
Setup + $2,500/mo support.
- Full A2A multi-agent orchestration & principal-level architectural validation
- Knowledge engineering & CI/CD pipeline for AI agents
- Security audit & access governance framework
- 3× enablement workshops for engineering teams & executive stakeholders
- Ongoing support, iteration & operational monitoring
Outcome: A scalable AI platform with internal competence — no permanent vendor dependency.
* Price does not include LLM provider costs such as Claude, Gemini, Codex, or other model usage fees.
Benefits and Impact
Context cleanup and memory rules often reduce token usage 20-50% per run. For repeated requests, caching can cut repeated input costs 60-90% and improve response time 30-70%.
With retrieval, validation, and evaluation gates, teams often see 30-70% fewer confident but wrong outputs on workflows covered by test cases.
For workflows like intake, routing, drafting, and structured updates, teams often see 25-60% less human time per run, depending on required approvals.
With release gates and automated checks, teams often reduce agent-related rollbacks 40-60% after the first stabilization cycle.
Who This Is For
Building AI-first platforms that need to work in production.
Using AI daily without standards, release controls, or cost discipline.
Building AI-powered features that need to ship, scale, and stay aligned with product goals across the full delivery pipeline.
Need audit trails, access governance, and documented operational controls.
Responsible for AI initiatives across the organization and need visibility, governance, and control over how systems perform and evolve.
Want workflow automation with measurable ROI and predictable operating cost.
What teams tell us after rollout
“We brought Festi in to support and extend our ERP system using Agentic AI. The results exceeded our expectations. Our development bottleneck is gone. Our only challenge now is writing new tasks fast enough for the agents to handle.”
— CEO, Suspended Ceilings Manufacturer
“We integrated Festi's Agentic AI solution into our Unity3D game development workflow. Crash rates dropped by 99% according to our Crashlytics data. Our team now spends the majority of time on game design and marketing — not chasing bugs.”
— Founder, Game Development Studio
“We deployed Festi's Agentic Infrastructure to manage and support our EdTech websites. We finally said goodbye to WordPress and stopped burning engineering time on UI fixes. Our team focuses on product now, not maintenance.”
— CTO, EdTech Company
FAQs
Launch AI Agents Your Team Can Actually Trust
Tell us which workflow you want agents to run and what tools they need to access. We'll outline a practical plan for governance, cost control, and a safe production rollout.
