Enterprise  ·  Business LineESEN
Platform in production · LATAM

Strategic AI operating at enterprise scale.

The AI platform built for CEOs and technical committees to run agents in production.

Enterprise portfolio

Four products on a single platform.

You start by training the team, build what can't be bought off the shelf, automate an area with agents, and everything ends up running on the same infrastructure. Each step stands on its own.

Enterprise · Entry program

Cognikas AI Adoption

Your company already pays for AI accounts the team barely uses. This program turns them into real work: hands-on training by area, a lighthouse agent running a concrete process, and ROI measured before deciding the next step.

We start with one concrete area, prove the value with numbers and scale on evidence — not on promises.

01 · Prove
  • Demo and diagnosis: where it hurts and what can be automated today
  • Context with the area: what the agent receives and what it produces
  • Shaped to the templates, criteria and rules of your operation
  • Live, tuned with your own team's corrections
02 · Enable
  • Hands-on workshops by area: how to apply AI to their actual work
  • Each workshop inventories the repetitive, high-volume tasks
  • The usage metric the company already tracks goes up that same week
03 · Expand
  • Prioritization by impact × volume × feasibility
  • The next lighthouse agent: the highest-return one per area
  • Every decision is approved with the pilot's ROI in hand
Enterprise · Built to order

Custom Engineering

We build on the same platform that already runs agents in production: what we build is born inside your security perimeter and with its traceability, not as a side project that has to be integrated later.

What we build
  • Payment platforms
  • Customer-facing applications
  • Modules on top of what you have
  • Core integrations
  • Dashboards and traceability
How it's delivered
  • Managed — cognikas operates
  • Build and transfer — your team operates
  • Train — your team builds
Enterprise · Core product

Cognikas Cloud

For regulated companies that need AI to run inside their own security perimeter, not on a generic API. Dedicated infrastructure, federated identity, isolated data.

Your security team sees the full architecture before the first deployment. The DPAs and the MSA are ready before the first technical meeting.

Deployment
  • Dedicated AWS account per client
  • Isolated VPC · selectable regions
  • Cross-account deploy (Custom)
Identity
  • Cognikas Auth0 tenant
  • One organization per client
  • Enterprise SAML / SSO
  • Granular roles and permissions
Data
  • Dedicated MongoDB Atlas
  • Or an isolated Supabase project
  • Configurable residency
  • Immutable decision logs
Governance
  • DPA + MSA ready
  • Interaction auditing
Demo · Illustrative case

This is how our agents operate.

An illustrative, abridged conversation from the enterprise qualification flow. The same engine that runs the platform in production — qualifying, scheduling, document handling, follow-up.

  • →Contextual qualification, not scripts
  • →Booking on real calendars
  • →Handling DPAs and documentation
  • →End-to-end process follow-up
Cognikas agent · Financial sectoronline
Hi. We're evaluating AI for our contact center. Financial sector, high volume.
10:42
CCognikas
Welcome. For the financial sector we typically deploy Cognikas Cloud on dedicated infrastructure with federated identity and isolated data. What is your approximate monthly interaction volume?
10:42
Between 80 and 120 thousand a month. We need data residency in LATAM.
10:43
CCognikas
Noted. That's a scale we cover with AWS sa-east-1 (São Paulo). For a serious estimate, a 30-minute session with our solutions team is the best next step. Are you available this week?
10:43
Thursday at 10 works.
10:44
CCognikas
Booked. I'm sending the calendar link and the preliminary DPAs to your registered email. Anything specific you'd like to cover on the call?
10:44
Abridged conversation · Illustrative case
How it operates · Four stages

From diagnosis to outcomes, in production.

Stage 01 · Diagnosis
01

Strategic diagnosis

We map the processes where AI adds real value, calibrate the deployment scope and align success metrics with your executive committee.

Stage 02 · Deployment
02

Deployment with governance

Dedicated infrastructure per client, federated identity and isolated data. Contracts are signed before the first interaction, not after the pilot.

Stage 03 · Operation
03

Continuous 24/7 operation

Agents run support, sales, operations, retention and moderation with full observability and human escalation where it adds value.

Stage 04 · Results
04

Measurable improvement

We report outcomes every quarter with auditable metrics: coverage, resolution, conversion and unit cost per interaction.

Core stack

Built on infrastructure your team already audits.

AWS
Auth0
MongoDB Atlas
Supabase
OpenAI
Anthropic
WhatsApp Business
Stripe
Community · Open source

What we use to build, published.

Plugins, protocols, skills and resources the team uses in production, open so your team can try them before talking to us.

Visit the community
Next step

Ready to evaluate strategic AI in production?

Let's start with a diagnostic conversation. No demos, no empty pilots.