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PRANINNOVATIONSProduction Specialists

Acceptance criteria before code

AI that proves itself in production.

We build AI your team can run—in the cloud, inside your product, or at the edge—scoped against signed criteria and deployed with observability and clear ownership.

Get a costed plan See measured results
01Criteria
signed before code
02Evidence
published pass or fail
03Ownership
source + runbooks handed over

Production acceptance

4 / 4 gates

One production AI system passing an acceptance gate and branching into application, edge, and fleet deployments
Evaluation
required
Telemetry
day one
Owner
named

The production gap

A demo proves the model. Production proves the system.

The hard part is everything around the model: evaluation, cost controls, deployment, observability, security, and ownership. We engineer that gap closed.

Deployment gate review

1 system operated

  1. 01

    Deployment

    never shipped

  2. 02

    Evaluation

    no eval set

  3. 03

    Economics

    cost blew up

  4. 04

    Runtime

    wrong hardware

  5. 05

    Operations

    no owner

  6. 06 live

    Production

    99.9% available

Model quality is one gate. A production system has to clear all six—and keep clearing them after launch.

Approach

We engineer for the constraints first.

A system held in place on every side by pins before anything inside it is decided
[x]Constraints-first engineering.
Data, accuracy, cost, latency, and environment are pinned down before model selection, not discovered after it.
[x]Evidence before investment.
Fixed-price pilots with acceptance criteria signed before the first commit.
[x]Systems, not demos.
Shadow mode, telemetry from day one, and a handover your team can run without us.

What we build

Seven ways in, one standard of finished

Language and vision applications, products, and the deployments that touch the physical world. Each ends in a system your team operates.

99.4%
detection rate
12 ms
decision latency
11
job sites
99.9%
availability
6
products shipped
500+
users

Measured in production, by the teams who operate the systems.

Manufacturing · Vision

Surface defect inspection, decided at the camera in 12 ms

Final inspection was manual and sampled, so surface defects were being found by the customer rather than on the floor. We surveyed the cell, captured production across three shifts, and commissioned an edge vision station that inspects every part and drives the existing reject gate.

decision latency at the camera
12 ms

decision latency at the camera

detection rate on hold-out set
99.4%

detection rate on hold-out set

Read the engagement

Client names withheld under NDA. Figures as reported by the teams operating the systems.

Skin in the game

SaaS products shipped.

uptime: our problem · pager: ours · cloud bill: ours

Six products on the market, each with its own customers, published pricing and an uptime we answer for. We designed them, built them, and run them. That is where the standards on this page come from.

  1. 01BuildUNIX
  2. 02VectraGPT
  3. 03XeoRank
  4. 04AdFargo
  5. 05Rankgent
  6. 06Visalytix
www.buildunix.com
BuildUNIX homepage
BuildUNIX logoConstruction management

BuildUNIX

Runs construction projects for PMC firms. Work moves through phase gates, site records are write-once, and snags are tracked from first report to handover.

What we built
The full application: Next.js front end, Postgres schema, background job pipeline, and the mobile flows field teams use on site.
In the market
Replaces the spreadsheet and WhatsApp workflow it was built to retire.
Visit BuildUNIX
www.vectragpt.com
VectraGPT homepage
VectraGPT logoEnterprise chat

VectraGPT

Answers HR, support and sales questions from a company's own documents. Every answer carries its sources, and every exchange is logged.

What we built
The retrieval stack end to end: document ingestion, chunking and embedding, retrieval, guardrails, and multi-tenant serving.
In the market
Audit trails and data handling built to GDPR and SOC 2 requirements.
Visit VectraGPT
xeorank.com
XeoRank homepage
XeoRank logoDeveloper SEO tooling

XeoRank

Scores a site for search, answer engines and generative results, then applies the fixes. Driven from a CLI or by an agent over MCP.

What we built
An agent-first product: MCP server, site crawler, three scoring engines, and a WordPress control plane that writes changes back.
In the market
Pulls live data from Google Search Console rather than estimating rank.
Visit XeoRank
www.adfargo.com
AdFargo homepage
AdFargo logoCreative generation

AdFargo

Reads a brand from its website, then generates ad copy, images and video that match it.

What we built
The generation pipeline: brand ingestion from a URL through to multi-format creative output.
In the market
One URL in, a set of on-brand assets out, in minutes.
Visit AdFargo
rankgent.com
Rankgent homepage
Rankgent logoProgrammatic publishing

Rankgent

Generates service-and-location landing pages in bulk, previews them, and publishes the set.

What we built
The page-generation engine: templating, bulk preview, and a publishing path tested at 50,000+ pages.
In the market
In use by more than 500 SEO practitioners.
Visit Rankgent
visalytix.com
Visalytix homepage
Visalytix logoVision analytics

Visalytix

Processes multiple camera streams in real time for object detection, motion tracking and anomaly alerts, with centralised camera management and analytics dashboards for security, retail, manufacturing and infrastructure sites.

What we built
The streaming platform end to end: multi-stream ingestion, on-stream model inference, automated camera health checks, dashboards and reporting.
In the market
Centralised management and health checks across every connected camera, not one stream at a time.
Visit Visalytix

How it runs

Look. Agree. Build. Prove. Hand over.

  1. Block glyph for the Look stage01

    Look

    A site survey or a data review, before anything is promised.

    feasibility report

  2. Block glyph for the Agree stage02

    Agree

    Working becomes a number, signed by both sides.

    signed criteria

  3. Block glyph for the Build stage03

    Build

    Phases that each end in something your team can use.

    working releases

  4. Block glyph for the Prove stage04

    Prove

    Shadow mode beside the real process until it clears the bar.

    validation report

  5. Block glyph for the Hand over stage05

    Hand over

    Your team runs it. Or we do, under an SLA.

    runbook

Every stage ends in a document you keep, whether or not you keep us.

Pricing

Start small enough to measure. Scale only when the evidence supports it.

Published bands and the reasoning behind them. The number you see is the number you pay for a fixed engagement.

The full ladder, and the six things that move a number

Free · written · no call

Not sure a camera can solve it?

Send 30 to 50 images from the line. An engineer writes back with an accuracy band, the hardware class it would need, and a go or no-go.

images receivedmemo draftedgo / no-go

Send sample images

Bring us the workflow, the camera feed, or the device fleet.

You don’t need a finished spec. A page of notes, a short clip or a sensor log is enough; an engineer reviews it before we ever get on a call.

Get a costed plan

Plainsboro, NJ · +1 (609) 203-2992
Mon–Fri, 9:00–18:00 ET