SOFTWARE + AI AGENTS
We build the systems your operation still runs by hand.
Agents, custom software, business intelligence and technical hiring for small and mid-size companies in the United States. Designed with your team, built with AI, shipped to production.
- Claude · OpenAI · Gemini
- Built for small and mid-size US companies
- From problem to production in weeks
01 / THE PROBLEM
If any of these three scenes feels familiar, the problem is not the technology.
It does not matter whether you run a 20-person shop in Ohio or a 300-person services firm in Texas. Small and mid-size companies do not have a spare IT department to absorb a failed project, and AI initiatives stall for almost always the same three reasons.
01
The tool gets bought before the work is understood
The license is signed in a committee, and only afterwards does someone ask what problem it solves, with which data, and who will use it every day.
Example: an AI platform is bought for customer support, and two months later the team is still answering from the same shared inbox.
02
One isolated task gets automated, not the whole flow
The visible part gets solved and the rest of the journey stays the same, held together by spreadsheets, side messages and what people remember.
Example: the order email answers itself, but the order still moves through three spreadsheets, two informal approvals and one person who knows where everything is.
03
Nobody stays to operate the system
The demo works, the pilot excites, and three months later the model has changed, the data has moved and no one is watching the results.
Example: the monthly report runs automatically until a data source changes; nobody notices, and the wrong number lands in the board meeting.
If any of this sounds familiar, the problem is not the technology, it is the process. That is where we start.
THE TOOLKIT
One handle, five tools.
Scroll to open the knife. Each tool is a service we bring to small and mid-size companies, and most projects use more than one.
SCROLL
01 / 05
GEO & SEO positioning
The blade: cutting through search and getting cited by ChatGPT, Claude, Gemini and Perplexity.
Search is no longer the only front door. We optimize your presence so ChatGPT, Claude, Gemini and Perplexity cite you when someone in your industry asks, alongside traditional SEO.
- Visibility audit across language models
- Structured data, llms.txt and citable content
- Mention tracking and share of answer measurement
EXAMPLES
Technical B2B
When a buyer asks ChatGPT who supplies a specific component in the region, the company shows up among the three cited options.
Private healthcare
Answers about treatments and coverage cite the medical center with correct information, instead of outdated third-party data.
Software
Documentation is restructured so models cite it accurately and the product appears in generated comparisons.
02 / 05
AI agents
The screwdriver: agents that turn the screws inside your systems and leave a record of every action.
Agents that do real work inside your systems, not chatbots that answer questions. They read your data, make bounded decisions, escalate to a human when they should, and leave a record of everything they did.
- Support, back office and document analysis agents
- Multi-agent orchestration with tools and integrations into your stack
- Evaluations and guardrails so behavior stays auditable
EXAMPLES
Logistics
An agent reads carrier emails, updates shipment status in the system and notifies the customer only when there is a real delay. "Where is my order" tickets drop without adding headcount.
Healthcare
An agent prepares the chart before the visit: it summarizes prior studies, flags out-of-range results and leaves the decision to the clinician.
Professional services
An agent reviews incoming contracts, flags clauses that deviate from the standard and drafts the summary that today takes two hours per document.
03 / 05
Custom software
The saw: cutting the platform your operation needs when nothing off the shelf fits.
Complete products, from architecture to deployment. We build with AI assistance at every stage, which compresses timelines without lowering the code standard, because senior human review is still mandatory.
- Web platforms, internal portals and APIs
- Legacy system modernization
- Integrations with your ERP, CRM and existing databases
EXAMPLES
Industry
An ordering portal for distributors that replaces the email-and-spreadsheet loop, with live stock and pricing pulled from the ERP.
Retail
An internal replenishment app that tells each store what to order today, instead of leaving it to each manager's judgment.
Finance
Modernization of a settlements system running on aging technology, migrated in stages and without stopping operations.
04 / 05
Business Intelligence
The magnifier: one version of the numbers, with owners and a review rhythm the team keeps.
One version of the numbers, with named owners and a review rhythm the team actually keeps. Dashboards that get used, not admired once.
- Source unification and data modeling
- KPI dictionary with assigned owners
- Dashboards and alerts wired to real decisions
EXAMPLES
Retail
Real margin by store and by product, with an automatic alert when a category drops two weeks in a row.
Services
Profitability by project and by person, with logged hours and billing in the same dashboard.
Manufacturing
A single production and waste number per shift, replacing three spreadsheets that never reconciled.
05 / 05
Hiring & recruiting
The scissors: shortlisting the technical people your team actually needs, screened by engineers.
Technical hiring for teams that cannot afford a bad hire. We define the role against the work that actually needs doing, source and screen candidates ourselves, and run the technical evaluation with the same senior people who build software here.
- Role definition, scorecard and compensation benchmark
- Sourcing and technical screening for engineering, data and AI roles
- Staff augmentation and nearshore teams from Latin America
EXAMPLES
Software
A 40-person SaaS company needs its first data engineer. We define the role, screen the pipeline and present three candidates who already passed a real technical exercise.
Professional services
A firm replaces an offshore agency with a nearshore team of three engineers in the same time zone, hired and onboarded in six weeks.
Industry
A distributor needs someone to own the systems we built. We hire and train the internal person instead of leaving the company dependent on us.
03 / HOW WE WORK
We show up, understand the real problem and build alongside your team.
We don't hand over a PDF and leave.
PHASE 01 · 1 TO 2 WEEKS
Go and understand
We sit with your team where the work actually happens. We map the real process, not the one in the manual, and leave with the problem defined and prioritized.
PHASE 02 · 1 TO 2 WEEKS
Design together
We design the solution with the people who will use it. We set scope, measurable success criteria, and what is explicitly out of scope.
PHASE 03 · 4 TO 10 WEEKS
Build with AI
Short development cycles with weekly demos. We use AI in the process to move faster and senior review so speed never costs quality.
PHASE 04 · ONGOING
Operate and measure
We leave it running and measured. Documentation, handoff to your internal team, and support until the system holds on its own.
04 / TECHNOLOGY
Not married to a single model.
Every model is better at something different, and all of them change every few months. We design so the model stays replaceable, evaluate against your own cases, and choose on measured results rather than brand.
ANTHROPIC
CLAUDE
Reasoning over long documents, code, and tasks where judgment matters more than speed.
OPENAI
OPENAI
Mature tooling ecosystem, multimodality, and production volume.
GOOGLE
GEMINI
Very large context windows and native integration with the Google data stack.
CAPABILITIES
- RAG
- Multi-agent orchestration
- Automated evaluations
- Fine-tuning
- Integrations
- Observability
- Guardrails
05 / TEAM
Senior, and at the table with you.
Nicolás Calleri
PROFILEFormer operations leader at a large U.S. language service provider. He built ARA after years of watching teams reconcile reports by hand and make decisions without a trusted version of the numbers.
Damián Giacone
PROFILESystems architect and technical lead. He designs the data platforms and agent architectures that keep ARA's projects running in production.
Francisco Valuch
PROFILEOperations and delivery. He turns the client's problem into an executable scope and makes sure what gets promised is what gets shipped.
06 / FAQ
Frequently asked questions
CONTACT
Tell us which process is costing you the most.
Write us at hola@ara-tech.io or fill in the form. Tell us which process is costing you the most: who runs it, how long it takes, and what breaks when it fails. We read every inquiry and reply within 48 business hours.