// CAPABILITIES
What we can build for your company.
Seven enterprise-AI systems OrvixLabs builds tailor-made for each client's operation. All run on IRIS SCE, our proprietary cognitive engine, and integrate with existing infrastructure.
We don't sell off-the-shelf products. We design, build, and operate private systems that solve concrete problems in your business.
// INDEX
Seven systems, one architecture.
01
Conversational intelligence over sales calls
02
Automation of RFPs, tenders, and technical questionnaires
03
Customer churn prediction for SaaS and recurring services
04
Regulatory compliance for fintech and digital wallets
05
B2B prospect generation and dossier
06
Real-time AI sales coaching
07
Agroindustrial intelligence from satellite data
01 — INTELIGENCIA CONVERSACIONAL
Conversational intelligence over sales calls
What problem it solves
Sales teams record thousands of calls that no one ever listens to afterward. Recurring objections get lost, commitments forgotten, coaching opportunities disappear. Without systematic analysis, every conversation evaporates.
Who it's for
B2B sales teams with five reps or more. Companies with consultative-sales call centers. Local subsidiaries of multinationals whose Argentine team speaks Rioplatense Spanish that global tools cannot parse properly.
How we build it
Every call is transcribed automatically and runs through IRIS deliberation: tone and sentiment detection, objection extraction, identification of commitments made by each party, probability-of-close scoring with traceable justification, specific coaching suggestions per rep. The report reaches the supervisor minutes after the call ends.
02 — AUTOMATIZACIÓN DE LICITACIONES
Automation of RFPs, tenders, and technical questionnaires
What problem it solves
Answering a fifty-page technical RFP consumes weeks of technical and commercial team time. Inconsistencies between responses, duplicate questions never cross-referenced with prior answers, deadline pressure. Every late tender is a lost contract.
Who it's for
IT consultancies, system integrators, software factories, exporters answering international tenders, infrastructure providers, B2B agencies with frequent technical questionnaires. Particularly valuable for Argentine government formats and state-owned enterprise tenders.
How we build it
The system reads the complete tender (PDF, Excel, Word), extracts every question, and cross-references against your library of prior responses. It generates a first draft with eighty percent of the questionnaire answered and explicitly flags new questions requiring human input. All with IRIS cross-verification to maintain technical consistency across answers.
03 — PREDICCIÓN DE ABANDONO
Customer churn prediction for SaaS and recurring services
What problem it solves
In recurring services, losing a customer costs ten times more than retaining one. But churn signals appear long before the cancellation: usage drop, communication tone shift, unanswered tickets, personnel changes on the client side. Without a system to cross-reference them, Customer Success learns too late.
Who it's for
SaaS platforms with recurring revenue. Consultancies and agencies with retainers. B2B service companies with monthly or annual renewal. Operations where the client portfolio exceeds the human capacity for individual follow-up.
How we build it
IRIS builds a health score updated daily for each client, integrating usage frequency, support tickets, communication sentiment, client-side personnel changes, and payment patterns. When a score drops, it triggers an alert with the specific detected reason and the concrete suggested action for the Customer Success Manager.
04 — COMPLIANCE FINTECH
Regulatory compliance for fintech and digital wallets
What problem it solves
Argentine fintechs must comply with central bank, anti-money laundering authority, tax authority, mandatory KYC, and prevention-of-laundering law 25.246. Today this runs on spreadsheets, expensive consultants, and entire teams reviewing false alerts. A single omission can mean a fine or operational suspension.
Who it's for
Digital wallets, crypto exchanges, lending fintechs, payment gateways, neobanks. Argentine subsidiaries of global financial institutions whose international tools cannot parse local regulatory specificity.
How we build it
IRIS processes every transaction against AML rules, updated PEP lists, and suspicious-behavior patterns. The cognitive engine dual deliberation works as a digital compliance team: the verifier checks against regulatory sources, the challenger searches for false negatives, the director consolidates. It generates suspicious-operation reports in official format, maintains complete audit trail of every decision, and produces the monthly central-bank report in the expected format.
05 — GENERACIÓN DE PROSPECTOS
B2B prospect generation and dossier
What problem it solves
Global B2B prospecting tools have poor data in Argentina and LATAM. Teams spend weeks building lists by hand, emails bounce, phones are outdated, decision-makers left six months ago. Every bad lead costs sales-team time.
Who it's for
Sales teams prospecting Argentine or regional companies. B2B marketing agencies running outbound campaigns. Foreign-company subsidiaries opening the local market. Consultancies needing verified lists by sector and industry.
How we build it
Starting from the ideal customer profile your team defines (industry, size, location, buying signals), IRIS builds a list of companies with verified data: live website, decision-maker with updated role, validated email, LinkedIn profile, affinity score with your offer. The most promising accounts arrive with a deliberated dossier of relevant public information.
06 — COACHING EN TIEMPO REAL
Real-time AI sales coaching
What problem it solves
A rep on an important call must remember pricing, typical objections, differentiators, success stories, all simultaneously. Traditional training is forgotten under pressure. Post-mortem coaching arrives too late: the deal is already lost.
Who it's for
Consultative sales teams with mid and high tickets. Customer Success Managers handling complex renewals. Commercial areas with technical products where the rep must master a lot of information simultaneously.
How we build it
While the rep talks to the prospect, IRIS listens to the live conversation and shows on a side panel: alerts when a known objection surfaces, response suggestions based on company material, reminders to mention relevant differentiators based on what the prospect said, sentiment-change detection. On call end, automatic summary with next steps and commitments assumed.
07 — INTELIGENCIA AGROINDUSTRIAL
Agroindustrial intelligence from satellite data
What problem it solves
Farmers have a lot of scattered data: satellite imagery, moisture sensors, climate records, input prices, planting calendars. Without a system that integrates and reasons over all of it, the decision ends up being intuitive.
Who it's for
Medium and large farmers, planting pools, rural contractors, agricultural cooperatives. Input-supply companies whose technical sales force visits farmers on the ground.
How we build it
For each plot or field, IRIS integrates updated satellite imagery, weather data, soil sensors, and market prices. Cognitive deliberation produces analysis of crop state, early warnings of water stress or pests, management recommendations, and yield projections. Every conclusion arrives with its confidence level and the source supporting it.
// ANOTHER ONE
Your case not on the list? We can probably build it too.
IRIS is vertical-agnostic. If your operation has a clear cognitive pattern — decide, verify, alert, predict, coordinate — there is a possible architecture. Tell us what you need to solve and we'll design how it gets built.
// FAQ
Preguntas frecuentes
Are these systems off-the-shelf products you buy ready-made?+
No. Each one is built tailor-made on the IRIS SCE architecture, adapted to the operation, data, and constraints of each client. What is standardized is the cognitive architecture underneath, not the final product.
How long does it take to build one of these systems?+
It depends on complexity and client data. Systems like churn prediction or sales coaching typically reach production in twelve to sixteen weeks. Regulatory compliance or agroindustrial intelligence can take twenty to twenty-four. Every implementation starts with an Architecture Review that defines scope and plan in two to four weeks.
Who owns the system once built?+
The client. The application, the data, the models trained on your data, and the infrastructure remain under your control. OrvixLabs retains ownership of IRIS SCE as the underlying cognitive engine, but the operation runs within the client perimeter.
Do you have a case not in this list?+
We can probably build it. These seven are the most recurring and where we have the best-tuned architecture, but IRIS is vertical-agnostic. If your operation has a clear cognitive pattern (decide, verify, alert, predict, coordinate), let us talk.