Voice Agents
- Incoming calls
- Outbound calls
- Natural conversations
- Call transfer
- 24/7 availability
AI Engineering & Software Studio
We build software that thinks, talks and works.
From custom software and AI agents to voice automation and generative content, we design and build intelligent systems from idea to production.
What we build
Six families. One studio. Technology follows the problem.
Build
Custom Software
From idea to production: MVPs, SaaS, enterprise platforms, APIs and products.
Automate
AI Agents & Automation
Agents that understand, decide and execute work across the business.
Talk
Voice & Conversational AI
Phone, WhatsApp, web and other conversational channels.
Know
Enterprise Knowledge
Documents, databases and organizational knowledge turned into usable intelligence.
Create
Generative AI & Virtual Humans
AI models, influencers, avatars and automated content production.
Transform
Architecture & Modernization
Modernize systems and introduce AI without rebuilding everything.
AI Agents
AI agents that do more than chat.
We connect agents to your tools, data and processes so they can understand, decide and act — with guardrails and humans when needed.
Interactive demo
Messages keep coming in — WhatsApp, Instagram, Telegram, Slack, Teams, web, email — and a team of agents answers them.
Guardrails
Orchestrator
Memory
Supervisor
Sales agent
Support agent
Knowledge agent
CRM
Human approval
Docs · RAG
Reply
New message on WhatsApp — Hi, any slots tomorrow?
- Agent
- Business system
- Guardrails
- Human
- Channel
- Action
- Tool calling
- Memory
- Business rules
- Workflows
- APIs
- Database access
- Human approval
- Guardrails
- Auditing
- Observability
One AI can't run a business. A team can.
Instead of one giant chatbot, we design specialized agents that collaborate, delegate and use the right tools.
Supervisor agent
Sales
Support
Operations
Finance
Knowledge
Data
- Orchestration
- Specialized agents
- Delegation
- Shared memory
- Agent-to-agent
- MCP
- Human-in-the-loop
- Deterministic workflows
Brain Company
The company brain
A shared corporate memory. Specialized agents per domain. A Brain that orchestrates, cross-checks and attaches evidence — not one LLM stuffed with the whole company.
Corporate memory stores facts. Agents bring their domain. The Brain coordinates. Permissions decide what can be seen and claimed.
Live query
One question. Several domains. Evidence behind every claim.
Pick a case. You will see which channel the question comes from, which agents get involved, and where each fact comes from.
From Teams“Any risk if we hire 20 new people for project X over the next three months?”
WhatsApp
Teams
Slack
Email
Web
API
HR Agent
Sales Agent
Finance Agent
Procurement
Ops / Project
Legal Agent
Corporate memory
Workday
CRM
Forecast / ERP
Vendors
Jira / tickets
Contracts
ChannelsBrain / orchestratorDomain agentsCorporate memorySource systemsThe sales agent does not touch HR
A manager writes in Teams: can we hire 20 people for project X in the next three months?
Permissions per agent
Sales Agent
- query the CRM
- query proposals
- query commercial meetings
- query salaries
- query medical records
- modify contracts
Permissions per agent
HR Agent
- query policies
- analyze org structure
- query authorized employee data
- query restricted financial data
- modify payroll directly
Security is not an afterthought: it is part of the knowledge and the architecture. Not every agent can see or do everything.
WhatsApp, Teams or an API are doors. They are not the brain.
The same intelligence can be reached from chat, email, the web or an API — with no chatbot in sight, if that is what you need.
WhatsAppTeamsSlackEmailWebMobileREST APIMCP
POST /brain/query · POST /decisions/analyze
Brain Company lets different parts of an organization stop acting as information silos and become specialized pieces of one corporate brain.
- Corporate memory
- Domain agents
- Orchestration
- Governance
- Humans in authority
Your company, AI-enabled
An intelligent layer that knows your documents, processes, rules, data and tools — and can act through specialized agents.
- People
- Knowledge
- Systems
- Processes
- AI
Voice AI
AI that answers the phone.
Inbound and outbound voice agents, agent assist for operators, and conversation intelligence — connected to your CRM, knowledge and tools.
Agent Assist
- Suggested responses
- Customer context
- Knowledge retrieval
- Next best action
Conversation Intelligence
- Transcription
- Summary
- Classification
- Scoring
- QA
- Compliance
- Intent
- Alerts
- Analytics
Omnichannel
One conversation. Every channel.
Context and memory travel with the customer. Phone, WhatsApp, web, email, SMS and more — connected to CRM, ERP, helpdesk and APIs.
Real omnichannel
One conversation across all channels
- Unified inbox: all channels in one place
- Inbound & outbound calls and messages
- Natural voice and chat, powered by AI
- Integrations with your CRM and tools
Chat, voice and video. Reach billions of users.
Twilio
SMS, voice and programmable communications.
Telnyx
Carrier-grade voice, SMS and global numbers.
VoIP
Custom telephony and SIP integrations.
They work on any text channel
WhatsApp, Telegram, Messenger, Instagram, SMS, email and more. One agent, every channel.
+ más
Generative AI
Create content without production limits.
Virtual influencers, AI models, avatars and automated pipelines — a flagship vertical, not the whole company.
Influencers in action
Digital avatars producing social content — one of the systems we actually ship.
L
Luna AI
FashionNew look for the season ✨ #FashionAI #ModelsLab
AI Generated
12.5K
342
89
A
Alex Digital
LifestyleTikTok
Transforming digital marketing 🚀 #TechLife #Innovation
AI Generated
8.2K
156
234
Z
Zara Virtual
BeautyAI-powered skincare routine 💄 #BeautyTech #Skincare
AI Generated
15.7K
567
123
Want to see this as a content factory?
Product in. Campaign out. Same visual identity, at scale.
AI Content Factory
Turn one product into an entire campaign
Your product → AI model → scenes → images, video and copy → channels → campaign.
1
Your AI Model
Create a consistent digital identity
2
Add your brand
Customize with your product
3
Product or logo
Integrate any brand
4
Campaign ready
Campaign ready
Content ready to publish
1
Your AI Model
Create a consistent digital identity
2
Add your brand
Customize with your product
3
Product or logo
Integrate any brand
4
Campaign ready
Campaign ready
Content ready to publish
Ready to promote your brand?
Scalable visual production without depending on a photoshoot every time.
AI needs great software underneath.
We can start from an idea or from a system that has been running for years.
- MVP development
- SaaS platforms
- Backend systems
- APIs
- Enterprise applications
- Dashboards
- Integrations
- Real-time systems
- Event-driven systems
- Modernization
Don't replace your software. Make it smarter.
We add intelligence on top of what you already operate.
Existing CRM + AI
Assist sellers and support with context from the live system.
ERP + Agent
Let agents read and act on operational workflows with permissions.
Documents + RAG
Make private knowledge searchable and usable by people and agents.
Contact center + Voice AI
Automate calls while keeping operators in the loop.
Legacy + Copilot
A guided layer on systems you are not ready to rewrite.
BMS + AI operations
Correlate telemetry, alarms and work orders.
Where we have real experience
Verticals we have actually built for — not a generic industry wall.
Contact centers
Voice, QA, compliance, automation and call intelligence.
Retail & facilities
BMS, HVAC, energy, alarms, telemetry and operational automation.
Enterprise operations
Workflow automation, ticketing, integrations and ServiceNow.
SaaS & startups
MVPs, platforms and product engineering.
Marketing & media
Virtual influencers, AI content and campaign automation.
Fintech & business platforms
Transactional systems, APIs, data and enterprise workflows.
How we work
From the brief to a prototype, then a live board — no mystery between meetings.
- 01
Discover
We understand the problem, system or process.
- 02
Design
We design the solution, architecture and scope.
- 03
Build
We develop software, integration and AI.
- 04
Validate
Testing, evals, security and guardrails.
- 05
Deploy
Production, observability and operation.
- 06
Improve
We analyze results and iterate.
From brief to MVP
How we start an MVP.
You tell us what you want, agents help us break it down, you share the real context, we prototype, and you watch the project evolve.
The request lands
Client
We need a WhatsApp agent that takes orders and talks to the CRM.ModelsLab
We start from the real flow: who writes, what you have today, and what cannot fail.Client
Today it is all manual. CRM is HubSpot. They want something live in six weeks.The client says what they want — on a call, WhatsApp, or email. We listen to the problem, not the stack.
The prototype does not die in a PDF. The same project keeps moving in the portal below.
Client portal
Your project, in the open.
A scripted look at the access we can give you. The board you already use — Trello, Jira, Linear — shows up here as the live plan.
app.modelslab.xyz/portal/norte-retailSynced from Trello
WhatsApp agent · Norte Retail
Week 4 of 11
To do
3CRM connection
Guardrails & evals
Go-live & handover
In progress
1WhatsApp integration
Review
1Architecture
Done
1Discovery & scope
Plan · 11 weeks
Today · week 4
1234567891011
Discover
Build
Validate
Deploy
You get a login. Same project, one window — not a spreadsheet three weeks later.
- Trello
- Jira
- Linear
- Asana
- Slack
- GitHub
Selected work
Anonymized systems we have designed and built. No invented clients or metrics.
Multi-agent operations
Problem: Specialists were repeating the same coordination work across tools.
Solution: A supervisor agent plus domain agents with shared memory and human approval.
Architecture: Orchestrator, MCP tools, workflows, audit log.
Result: Work moves across systems without a single brittle chatbot.
Voice AI / contact center
Problem: Calls needed coverage outside business hours without losing context.
Solution: Inbound/outbound voice agents with CRM lookup and warm transfer.
Architecture: Telephony streaming, STT/TTS, RAG, CRM APIs.
Result: Conversations stay connected to the same business systems.
BMS and telemetry automation
Problem: Alarms arrived faster than operators could correlate them.
Solution: Event processing with classification, tickets and remote diagnosis support.
Architecture: Telemetry ingest, rules + agents, work orders.
Result: Operations get a prioritized, traceable path from event to action.
Virtual influencer pipeline
Problem: Campaigns depended on photoshoots and inconsistent visual identity.
Solution: A generative pipeline from product to scenes, assets and channels.
Architecture: ComfyUI workflows, identity consistency, automation.
Result: Content can be produced at scale with a stable character.
Enterprise knowledge
Problem: Policies and manuals lived in files nobody could query reliably.
Solution: RAG over private documents with permissions and citations.
Architecture: Ingest, hybrid search, rerank, access control.
Result: People and agents can use company knowledge without dumping it into a public model.
Legacy modernization
Problem: A core system still ran the business but blocked new capabilities.
Solution: APIs and a copilot layer on top of the existing stack.
Architecture: Integration layer, event hooks, progressive replacement.
Result: New features ship without a risky rewrite.
Engineering principles
Production first
Designed to run in production from day one.
AI where it makes sense
A rule or workflow often beats an LLM.
Secure by design
Permissions, isolation, audit and guardrails.
Observable
Logs, metrics, tracing and evaluation.
Human when needed
Human-in-the-loop when a decision requires it.
Technology agnostic
Tools follow the problem, not the trend.
Technology
Stack as evidence, not as the pitch.
Software
- Node.js
- NestJS
- TypeScript
- C# / .NET
- Python
- Go
Data
- PostgreSQL
- SQL Server
- MySQL
- MongoDB
- Redis
- Vector DBs
AI
- OpenAI
- Anthropic
- Gemini
- Open-source LLMs
- RAG
- MCP
Generative media
- ComfyUI
- Flux
- Stable Diffusion
- LoRA
- ControlNet
Real time
- Kafka
- WebSockets
- Event-driven
Communications
- Twilio
- SIP / VoIP
- ElevenLabs
- Deepgram
Infrastructure
- Docker
- AWS
- Linux
- Windows
Why ModelsLab
Senior engineers. AI builders. Product thinkers. Decades of enterprise software combined with modern agent, voice and generative systems.
- Architecture
- Backend
- Distributed systems
- Real-time
- Integrations
- Generative AI
- Agents
- Voice
- Automation
- Digital products
Architecture
Distributed systems, integrations and production design.
AI agents
Tool calling, orchestration, guardrails and evals.
Voice
Telephony, conversation design and contact-center ops.
Generative media
Pipelines, identity consistency and campaign automation.
Product engineering
MVPs, SaaS and the software layer AI sits on.
What do you want to build?
Tell us what you are trying to solve. We will help you decide what should be software, what should be automated, and where AI actually adds value.
- A working session with an engineer
- Problem, systems and constraints
- A concrete next step — not a pitch deck