Start a Project
AI Acceleration Studio

Prove it in weeks. Scale it only once the evidence says so.

Most enterprise AI budget gets committed before anyone knows if the use case works. The Studio flips that order: a discovery score, a working production-grade build, an evaluation report, and a go/no-go call - in that sequence, every time.

Start a Project See the Receipts Compare Us Honestly
PoC in 2-6 Weeks
Discovery Scoring
Production-Grade Code
Governance Gate
Go/No-Go Evidence
Studio Delivery Status Live Discovery score Scored PoC build Active Evaluation harness Running Governance gate Reviewed Production rollout Live

The Receipts

Proof the studio ships, not just scores decks.

None of this is self-reported - check the Clutch profile and Upwork record yourself before the discovery call.

74M+Downloads on one product we engineered
3M/dayVisitors handled by a platform we built - Clutch-verified
4.9Clutch rating across 5 verified reviews
66Unsolicited client reviews, all platforms
0Reviews we ever asked for
101Contracts completed on Upwork, Top Rated

The Anatomy

Six gates. Each one can end it early, on purpose.

Not a sales funnel - a risk funnel. Four of the six checkpoints below can send a use case home before real budget is spent; only the last one sends it to production.

Continues into the funnel Exits the funnel, cheaply
G1 G2 G3 G4 G5 Idea Intake raw ask, unscored ✕ Off-fit → filed, no cost Discovery Score feasibility + ROI ✕ Low score → declined Rapid PoC Build working build · 2-6 wks ✕ Fails demo → stopped Evaluation quality + cost ✕ Misses bar → not scaled Governance Gate go / no-go, in writing Scale passed every gate Retire kept, not scaled

The Range

Eight kinds of AI proofs this studio has taken through the gate.

Different model types, same six-gate process - because the risk you're de-risking is the investment, not the technology.

Assistive & Interface Layer

01
Copilots

Support & Service Copilots

Draft-and-suggest interfaces for support and ops teams, scored on time-saved-per-ticket before a full rollout is funded.

Score › Prove › Scale
02
Retrieval

Knowledge Assistants

RAG search over policies and manuals, PoC'd on a single department's documents before it touches the whole org.

Score › Prove › Scale
03
Multimodal

Voice & Multimodal Interfaces

Speech and image inputs bolted onto an existing workflow, evaluated on real recordings and photos, not curated demo clips.

Score › Prove › Scale
04
Personalization

Personalization Engines

Recommendation and ranking logic PoC'd against a holdout segment before it decides what every user sees.

Score › Prove › Scale

Automation & Intelligence Layer

05
Automation

Workflow Automation Agents

Approval, reporting, and status-tracking flows proved on one team's backlog before they touch every queue.

Score › Prove › Scale
06
Prediction

Classification & Prediction Models

Demand, churn, or risk-scoring models validated against last year's actuals before a single live decision uses them.

Score › Prove › Scale
07
Extraction

Document Intelligence & Extraction

Field extraction from invoices, forms, and contracts, PoC'd on your messiest real documents, not clean samples.

Score › Prove › Scale
08
Vision

Computer Vision Inspection

Defect and anomaly detection on camera or sensor feeds, scored on precision/recall before it replaces a manual check.

Score › Prove › Scale

See It Work

Three gates, mid-review - not a pitch deck.

A discovery score, a build in progress, and a governance verdict - each one paused exactly where a real acceleration studio should show its work.

Feasibility Scorecard
Claims Intake Triage · Discovery, Day 4 Scoring
Data Readiness78 / 100
Technical Feasibility85 / 100
Modeled ROI Range$40K-$120K/yr
Recommendation logged Day 4 of 5 Proceed to PoC
PoC Build Timeline
Inventory Demand Forecast · Week 4 of 6
Wk 1
Wk 2
Wk 3
Wk 4
Wk 5
Wk 6

Forecast accuracy tracking 6pts above baseline · on track for the Friday eval review.

Go/No-Go Gate
Warehouse Vision Inspection · Gate Review
  • Data privacy review complete
  • Bias / accuracy audit passed
  • Cost-per-inference inside budget
  • Rollback plan - pending sign-off
CONDITIONAL · 1 ITEM OPEN

What We Build

Six disciplines that make a PoC mean something.

Skip any one of these and a "successful PoC" is just a demo that can't survive contact with production.

01

Feasibility & ROI Scoring

A written data-readiness and ROI-range score before any build estimate is given - so "worth trying" is a number, not a hunch.

Non-negotiable
02

Production-Grade Prototyping

Real auth, real error handling, real logging from day one - a PoC you can keep running, not a notebook you throw away.

Non-negotiable
03

Model & Framework Selection

The model, framework, or classical-ML approach picked to fit the use case's data and budget - not whichever one we used last time.

Non-negotiable
04

Evaluation Harness Before Scale

Accuracy, latency, and cost-per-transaction measured against a held-out test set - before the PoC is judged ready to grow.

Non-negotiable
05

Governance Gate Documentation

Privacy, bias, and rollback review written down and signed off - not a verbal "looks fine to me" before go-live.

Non-negotiable
06

Scale-Readiness & Handoff

A concrete plan for what changes at 10x volume - infra, monitoring, ownership - handed to your team either way, pass or kill.

Non-negotiable

How It Runs

A six-week sprint, laid out end to end.

  1. Discovery Sprint01 · Wk 1

    Use-case prioritization, baseline mapping, and a feasibility score written down before anyone estimates a build.

  2. Scope the Guardrails02 · Wk 1-2

    Data boundaries, privacy requirements, and the governance criteria the gate will check - agreed before code is written.

  3. Rapid PoC Build03 · Wk 2-5

    Production-grade code against real data - working increments you can see every week, not a big reveal at the end.

  4. Evaluate04 · Wk 5-6

    Accuracy, latency, and cost-per-transaction scored against a held-out set before anyone calls it a success.

  5. Governance Gate05 · Wk 6

    A written go / no-go verdict against the criteria agreed in week one - not a demo applause meter.

  6. Production Rollout06 · Ongoing

    Only what passed the gate scales - with a monitoring and handoff plan your team owns from day one.

Compare Us Honestly

Four ways to de-risk an AI bet. One row-by-row look.

Pick the alternative you're actually weighing us against, or leave it open and read all four side by side.

Strength Trade-off Depends

Enterprise AI Vendor / SI

  • Time to first working proof3-6 months, after an RFP and a statement of work
  • Investment risk before it's provenA six-figure contract signed on a slide deck
  • What ships after the demoOften a re-scoped, re-quoted "phase two"
  • Who decides go/no-goThe vendor selling you the next phase
  • Model & framework flexibilityLocked to their preferred stack and partners
  • If it doesn't work outSunk contract cost, hard to unwind mid-term
  • ReviewsSolicited case studies
  • Your riskMulti-month contract, cancellation clauses

DIY / No-Code AI Tools

  • Time to first working proofDays - but often on a toy version of the real data
  • Investment risk before it's provenLow - a subscription, not a contract
  • What ships after the demoA prototype that rarely survives real integrations
  • Who decides go/no-goWhoever built it, without a formal eval step
  • Model & framework flexibilityLocked to the platform's own model choices
  • If it doesn't work outCheap to drop - little sunk cost
  • ReviewsProduct reviews, not delivery-specific
  • Your riskRebuild cost if it needs to become real software

In-House Innovation Team

  • Time to first working proofWeeks to months, squeezed between other priorities
  • Investment risk before it's provenSalary cost, whether or not the PoC works out
  • What ships after the demoDepends entirely on the team's PoC-to-prod experience
  • Who decides go/no-goWhoever built it, evaluating their own work
  • Model & framework flexibilityWhatever the team already knows well
  • If it doesn't work outTime and salary already spent either way
  • ReviewsN/A - internal build, no external track record
  • Your riskOpportunity cost of the team's other work
Our Approach

Zetrixweb Studio

  • Time to first working proof2-6 weeks, on your actual production data
  • Investment risk before it's provenA scoped PoC budget, quoted after a free discovery score
  • What ships after the demoProduction-grade code you own, gate or no gate
  • Who decides go/no-goA written evaluation report, agreed criteria, your call
  • Model & framework flexibilityPicked per use case - LLM, classical ML, or both
  • If it doesn't work outYou keep the code and the evidence - no hard feelings
  • Reviews4.9 on Clutch, 66 reviews, zero ever asked for
  • Your riskFree 7-day trial; walk away with the work
Start a Project

The Zetrixweb column is verifiable: Clutch profile, Upwork record, and the engagement terms we publish.

Held To In Writing

Timed, owned, and evidence-backed - not sales promises.

These are written into the statement of work before the discovery sprint starts, not offered after you push back.

PoC Timeline Guarantee

Miss the agreed PoC delivery date for a reason on our side, and the remaining sprint weeks are free until it ships.

Production-Grade Code From Day One

Every PoC is built on real auth and real error handling, not a throwaway notebook - it's yours to keep whether or not you scale it.

Go/No-Go With Evidence

The gate verdict comes with the evaluation numbers behind it, in writing - a real recommendation to kill or scale, not an upsell.

The Arsenal

Any model, any framework - picked to fit the use case.

The prototyping and evaluation stack behind every gate, chosen per PoC rather than sold as a package.

Foundation Models

AnthropicAnthropic
OpenAIOpenAI
GeminiGemini
Meta LlamaMeta Llama
MistralMistral
CohereCohere

Enterprise Model Hosting

Microsoft AzureAzure OpenAI
AWSAWS Bedrock
Google CloudGoogle Cloud

Frameworks & Orchestration

LangChainLangChain
LlamaIndexLlamaIndex

Classical ML & Evaluation

TensorFlowTensorFlow
OpenCVOpenCV
Hugging FaceHugging Face

Already Carrying Load

PoCs that passed the gate and are still running.

Two of the eight types above, taken all the way from discovery score to paying production use - not illustrations.

Computer Vision InspectionTaryouvet

Trained, deployed disease-detection model for palm plantations

400 palms scanned at launch, confidence-scored every time
→
Workflow Automation AgentsMaaKrupa CRM

Back-office approval and reporting workflows, PoC'd in weeks

Days of manual work saved every month
→
Before You Ask

What people actually ask before scoping a PoC.

It's a staged de-risking process, not a build contract. A regular dev shop usually quotes and builds the whole thing up front. The Studio scores feasibility first, builds a production-grade PoC in weeks, evaluates it against real numbers, and only then recommends scaling - so the spend before you know it works stays small.

Most PoCs are working, on your real data, in 2-6 weeks - discovery scoring takes the first few days, and the build timeline depends on integration count and data readiness, which we score before quoting a date.

It's yours either way. Every PoC is built as production-grade code in your own repo from day one, not a disposable notebook - a "no-go" verdict means you keep the work and the evaluation report, not that it disappears.

A discovery sprint scores data readiness, technical feasibility, and a modeled ROI range before any build estimate is given. If the score doesn't clear the bar, we say so - a PoC that was never going to work isn't worth either of our time.

Those two describe what gets built - autonomous agents that act, or GenAI systems that generate content. The Studio describes how anything gets proven first: the discovery-to-gate process that decides whether an agent, a GenAI system, or a classical ML model is even worth building at scale.

Three things worth checking yourself: we score feasibility before quoting a build instead of after signing a contract, we've never solicited a review yet sit at 4.9 on Clutch across 66 unsolicited reviews, and you can trial us free for 7 days on a real use case before spending anything.

A scoped PoC typically runs $6K-$20K depending on data complexity and integration count, quoted fixed after the free discovery score. If it passes the governance gate, production rollout is scoped separately with the evaluation numbers already in hand - no re-selling the idea from scratch.

One scoping call. A dated PoC plan by Friday.

Bring the use case and leave with a feasibility score, a PoC timeline, and a real budget range - whether or not you hire us.

Start a Project View Engagement Models