NEWATP Petrichor — the enterprise AI gatewayEnterprise AI,
ENTERPRISE AI CONSULTING & INTEGRATION
Enterprise AI,
from blueprint to production
Bring the future into today's enterprise. Intelligence has to flow — and getting it into production is our job. From assessment and custom development to integration and ongoing operations, one team stays with you the whole way.
AssessmentCustom buildIntegrationOperations
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50+ projects in productionVerifiable results in 6 weeksOne team from assessment to operations
50+ projects in productionVerifiable results in 6 weeksOne team from assessment to operationsTHE GAP
85% of enterprise AI projects stall at proof of concept
Compute and models were never the bottleneck. What keeps projects stuck at PoC is these four barriers — none of them solved by engineering alone.
The cost trap
Hidden infrastructure and operating costs stall projects at budget review. Without usage controls, there's no such thing as predictable AI spend.
Security risk
Data leaving the building, unclear permission boundaries, and compliance gaps are the most common places projects stop. AI adoption has to start from a secure architecture.
The adoption gap
Between a PoC and production sit data governance, SLAs, and change management. Without a method, the demo is the end of the road.
Integration
AI that doesn't connect to your ERP, CRM, and existing workflows is just another island. How deeply it integrates decides whether AI actually gets used.
OUR THESIS
Compute is only the start; value comes from flow
We treat enterprise AI as a circulatory system — intelligence has to flow through the organization to create value.
01
Arteries
Deliver the right models and compute into core business systems — safely and reliably, with high-availability access, controllable cost, and seamless integration.
02
Veins
Bring the data asleep in documents, meetings, and systems back into the organization as collective intelligence — so every business cycle teaches the AI more about your company.
03
Capillaries
Put AI into every user's daily work — from knowledge retrieval to process automation, intelligence takes effect at the very edges of the organization.
50+
projects live in production
3×
higher adoption success rate
6 weeks
from assessment to verifiable results
ATP PETRICHOR
One key · Every model
The enterprise AI gateway
One project key connects every major model — with hierarchical governance from organization to workspace to project, and usage, quotas, and permissions auditable end to end.
Project keyScoped model access
Single gateway16+ major models
Request logsAuditable in real time
Transparent ratesDown to the million tokens
curl https://api.atptoken.ai/v1/chat/completions \ -H "Authorization: Bearer $ATP_PROJECT_KEY" \ -d '{ "model": "any-enabled-model", "messages": [...] }' # 200 OK · logged · metered▌ # petrichor /pɛtrʌɪkə/ — the scent of the earth waking after rain
One key · Every model — 16+ major models supported, continuously updated
gpt-5.4-pro
claude-opus-4-8
gemini-3-1-pro- gpt-5.5
- claude-sonnet-4-6
deepseek-v4-pro- All 16+ models →
ECOSYSTEM
Where compute becomes action
Where Compute Becomes Action.
KONST supplies the energy, Glows.ai supplies the compute, and Horizon AI turns compute into action — from hardware to production, carried end to end by a single group.
Energy source
AIDC · GPU systems · workstations and servers
Led by ADATA · Investment Model Award · COMPUTEX
Meet KONST ↗Compute cloud
GPU cloud · intelligent resource scheduling · model deployment
For AI professionals and research institutions
Go to Glows.ai ↗AI adoption
Adoption · integration · operations — where you are now
ATP Petrichor · the energy-currency hub for intelligence
Meet ATP →CASE STUDIES
Where intelligence lands
Every industry speaks its own language, and so does AI. See how intelligence flows into different industries' daily work.
INDUSTRY MAP · Companies moving with us
PETROCHEMICAL & MANUFACTURING
Petrochemical & manufacturing
Veteran engineers' experience stays in their heads, and SOPs and safety documents are scattered on paper — the knowledge gap is the biggest operational risk.
- Equipment maintenance knowledge base: 30 years of veteran experience, answerable on demand
- AI review of safety and compliance documents
- Real-time assistance for reading production-line anomalies
FINANCE & INSURANCE
Finance & insurance
Compliance is the floor and documents are a flood — every review is a tug-of-war between headcount and risk.
- Compliance document comparison and change tracking
- Intelligent review of policies and contracts
- Usage and security governance for customer-service AI
ELECTRONICS & TECH
Electronics & tech
Cross-border supply chains and multilingual communication keep engineering knowledge and quality data out of decisions.
- Yield analysis and an engineering knowledge assistant
- Automated structuring of supplier documents
- Real-time translation and minutes for cross-border meetings
RETAIL & SERVICES
Retail & services
High support volume, messy product data, and dormant member data — headcount can't keep up with scale.
- Support knowledge base and intelligent replies
- Automated generation and listing of product content
- Member behavior insights and segmentation
SERVICES
Consulting, custom build, integration — end-to-end AI adoption
We don't sell packaged software or stop at a recommendation deck. Production is the only goal — we build AI into your daily operations.
Assessment & Consulting
AI Assessment & Consulting
We map your use cases, data, and existing systems, then deliver an actionable adoption blueprint and ROI assessment — think it through before building.
Learn moreCustom AI Development
Custom AI Development
Knowledge retrieval, document processing, multilingual communication and more — built around your actual workflows, not a template.
Learn moreSystem Integration
Systems Integration
We connect AI to your ERP, CRM, and existing workflows, with data pipelines and access design done right the first time — so AI becomes part of the process.
Learn moreOperations & Governance
Operations & Governance
Ongoing operations for model access, cost control, and security compliance — so your enterprise AI spend stays predictable and auditable.
Learn moreIntelligence in flow. A future in production.
FULL-STACK AI
One method, covering the full stack from infrastructure to application
Most AI projects fail not because of the model, but because the stack breaks. Our three-layer architecture makes sure every layer has an owner.
Application Layer
01Application layer
The interfaces and applications users actually touch — retrieval, document processing, and workflow automation, customized per use case.
Integration Layer
02Integration layer
Data pipelines, API connections, and workflow orchestration that connect AI to your ERP, CRM, and existing systems.
Infrastructure Layer
03Infrastructure layer
Model access, compute orchestration, security, and usage governance — where our infrastructure platform ATP Petrichor does its work.
FAQ
Enterprise AI adoption — frequently asked questions
The questions we hear most at the assessment stage, answered straight.
How long does enterprise AI adoption take?
With our method, a verifiable proof of concept (PoC) takes about six weeks on average, with production reached within three to six months. The exact timeline depends on how ready your data is and how complex the integration with existing systems is — which is precisely what the pre-adoption assessment clarifies.
How do you estimate the cost of enterprise AI adoption?
Cost has three parts: a one-time assessment and development fee, usage-based model fees, and ongoing operations. Our usage-governance platform makes token cost predictable and auditable, avoiding the most common problem — a bill that gets out of control after launch.
Will our enterprise data leak?
No. Data permission boundaries are defined during architecture design: sensitive data can stay and be processed inside your environment, external model calls go through a single auditable gateway, every request is logged, and you can restrict which models and vendors are available.
Can we adopt AI without an in-house AI team?
Yes — that's where most of our clients start. We handle assessment, development, and operations, transferring the operating and governance knowledge to your team along the way. What you need is someone who knows your business processes, not a machine learning engineer.
After the PoC, how do we get to production?
A PoC proves value; production tests engineering. We design to production standards from the PoC stage — data pipelines, permissions, monitoring, and cost controls are in place from day one — so going from PoC to production is an extension, not a rebuild.
Start with a free AI readiness assessment
In one hour, we map your data, systems, and use cases and give you an actionable AI adoption blueprint.