AI Applications
AI-powered applications that search, generate, classify, recommend, and decide. Real production code, 100% ownership, ready on day one. From $5,000.
- 1Identify the AI opportunity
- 2Design the AI workflow
- 3Deploy and optimize
The reasons AI Apps projects stall — and how we fix each.
Demo'd ChatGPT internally and nothing shipped.
We turn a Slack-thread idea into a measurable workflow with a real eval set and a real deploy date.
AI hallucinates on our internal data.
RAG done properly — clean retrieval, citations, evals, and grounding rules tuned to your domain.
Costs balloon as soon as a feature gets traction.
Model routing, caching, and budget alerts mean you control unit economics from day one.
Privacy team blocks every AI initiative.
Private hosting (VPC / on-prem / Ollama / vLLM) so sensitive data never leaves your perimeter.
Three packages. One transparent price.
Fixed scope. Milestone billing. If we miss a milestone, you don't pay for it.
Pilot
Prove an AI feature works on your real data.
Best for: Teams validating ROI of a single AI use case before committing.
One AI workflow shipped end-to-end, on your data, behind login.
- 1 AI workflowChat, classify, generate, summarize, or search.
- RAG on your documentsPDF/Word/Notion/URLs.
- Web UI behind login
- Prompt + eval harnessMeasure quality before launch.
- Model routingOpenAI, Anthropic, or Gemini.
- Usage + cost dashboard
- Deployment + handover
- Multi-user workspace
- Workflow automation
- Custom fine-tuning
- Private hosting
- • Live AI workflow on your domain
- • Source code in your GitHub
- • Eval report + cost model
- • Loom walkthrough
Product
Ship an AI product real users adopt.
Best for: Operators productizing an AI workflow across a team or customer base.
Multi-user AI app with auth, history, evals, and analytics.
- Everything in Pilot
- Up to 3 AI workflows
- Multi-user auth + roles
- Conversation history + memory
- Tool use / function callingConnect to your APIs.
- Streaming UI + citations
- Human-in-the-loop review
- Quality + cost analytics
- 30 days post-launch hypercare
- Self-hosted models
- Custom fine-tuning
- SSO
- • Production AI app
- • Eval dashboard
- • Prompt library + runbook
- • Analytics on usage & spend
Suite
An AI platform across your business.
Best for: Companies rolling AI out to multiple teams, customers, or use cases.
Everything in Product + agents, fine-tuning, SSO, and private hosting options.
- Everything in Product
- Unlimited workflows
- Agent frameworkMulti-step planning + tools.
- Fine-tuning / distillation
- Private hosting optionvLLM, Ollama, or vendor VPC.
- SSO + RBAC + audit logs
- Eval automation + regression suite
- Cost governance + budgets
- Dedicated squad
- 60 days post-launch retainer
- • AI platform deployed
- • Agent + tool library
- • Eval & governance dashboards
- • Security review
- • 60-day retainer
Not sure which package fits? Get a personalized recommendation in 90 seconds.
From kickoff to live, step by step.
Predictable phases. Weekly demos. You see progress every Friday.
- Day 0–3
Use-case scoping
We map the AI opportunity to a measurable outcome — accuracy, deflection rate, time saved — and pick the right pattern (RAG, agent, classifier).
- Week 1
Data & eval prep
We structure your knowledge base, write a gold-standard eval set, and pick the model that hits accuracy at the lowest cost.
- Week 2–4
Build & evaluate
Iterative sprints with eval scores reported every Friday. We tune prompts, retrieval, and tools until the bar is met.
- Launch
Deploy + observability
Production deploy with usage, cost, latency, and quality dashboards. You see what the AI is doing in real time.
- Post-launch
Tune & expand
30–60 days of prompt tuning, eval expansion, and adding the next workflow once the first one is proven.
Built for the people who actually ship.
Support teams cutting first-response time with AI
Sales teams generating proposals & emails at scale
Legal teams summarizing contracts and clauses
Hospitality groups deploying AI concierges
Internal teams searching knowledge bases by intent
Founders adding AI as a moat to a non-AI product
How we compare to the obvious alternatives.
| VYANIS | AI consultancy | In-house experiment | Off-the-shelf SaaS | |
|---|---|---|---|---|
| Time to live feature | 1–6 weeks | 3–6 months | Open-ended | Instant but generic |
| On your data | RAG + evals | Yes (slow) | Yes (eventually) | No |
| Eval & quality discipline | Always | Sometimes | Rarely | Vendor-defined |
| Cost governance | Built in | Add-on | DIY | Per-seat fees |
| Privacy / private hosting | Suite tier | Quote-based | Months of work | Rarely |
| Ownership of prompts/code | 100% yours | Usually yours | Yours | Vendor's |
Proven tools, hireable everywhere.
We pick tools so you're never stuck because we got fancy.
Real problems we solve with AI Apps.
AI Apps questions, honestly answered.
Still unsure? Book a 30-minute strategy call — no obligation, no sales fluff.
Ready to ship AI Apps?
Send us your idea today. Get a fixed-scope proposal in 48 hours. Start within 1 week.
