NEXO SOLUTIONS × TYPESAFE AI

We built the system.
Jev can sharpen its decisions.

A production outreach and sales-operations engine, paired with an isolated Jev evaluation harness built around real Portuguese and English customer replies.

See the pilot ↘

UNSTRUCTURED
REPLY

JEVDECISION LAYER

TYPED
OUTCOME

CASE / 01

0real replies ready for evaluation

PT + ENthe languages our customers use

0live actions during the shadow pilot

20authored regression edge cases

THE PRODUCTION SYSTEM

Automation with a deterministic backbone.

Nexo’s engine keeps outreach moving while reserving AI for the parts that require judgment. Every action stays constrained by ordinary code, queues, budgets and recovery logic.

Source

Collect and validate prospects.

Research

Build a factual business brief.

Decide

Classify, route and prioritize.

Act

Write, send, update and follow up.

Repair

Detect failures and recover.

THE FIRST JEV PILOT

One narrow decision. Measured properly.

We will compare Jev against independently reviewed replies before it influences a single production record.

reply_0072.json

// state
{
  "our_email": "Can we show you the demo?",
  "their_reply": "Friday after 3 works."
}

// typed decision
{
  "sentiment": "positive",
  "confidence": 0.97,
  "opt_out": 0.01
}

SHADOW MODE · RECORD ONLY · NO CRM ACTION

Intent classification

Positive, neutral or negative, interpreted against the email being answered.

Opt-out detection

Measured as a review signal. Literal customer evidence remains mandatory.

Confidence calibration

Accuracy by confidence band, including missed positives and false opt-out flags.

Operational fit

Latency, token cost, fallback rate and reliability under real input conditions.

WHY JEV

Our engine already separates decisions from actions.

CHOICE

Route the reply

Buying intent, refusal, wrong contact or ambiguity. Fixed outcomes that the engine already understands.

SCORE

Prioritize the queue

Urgency and commercial value become measurable inputs, while policy stays in code.

NOUL

Gate uncertain cases

High confidence can move quickly. Uncertainty routes to deeper review instead of being hidden.

READY FOR EARLY ACCESS

The harness is built.
The dataset is waiting.

We can begin with a 20-case smoke test, then evaluate the complete private dataset and share structured findings with TypeSafe.

miguel@nexosolutions.co ↗

We built the system.Jev can sharpen its decisions.