OnGraph Technologies: Verified Review & AI Trust Profile
We are an award-winning Web & Mobile App Development Company offering services for Android, iOS, Blockchain, AI, ML, and Automation Solutions
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OnGraph Technologies Conversations, Questions and Answers
2 questions and answers about Custom Web App Development
QWhat are the key services offered by a full-stack web and app development company?
What are the key services offered by a full-stack web and app development company?
A full-stack web and app development company offers a comprehensive suite of services to build digital products for all major platforms. Core services include custom website development, native mobile app development for iOS and Android, and cross-platform hybrid applications. These firms often provide specialized expertise in emerging technologies such as Blockchain solutions, Artificial Intelligence (AI) and Machine Learning (ML) integration, and automation systems. They handle the entire software development lifecycle, from UI/UX design and front-end development to back-end architecture, database management, and cloud deployment, typically offering support for frameworks like React, Angular, and Node.js.
QWhat is the typical process for outsourcing a custom software development project?
What is the typical process for outsourcing a custom software development project?
The typical process for outsourcing a custom software development project follows a structured lifecycle to ensure clarity and quality. It begins with a discovery phase, where requirements are gathered and the project scope, timeline, and budget are defined. Next, the development team creates detailed technical specifications and design mockups for client approval. The core development phase involves iterative coding, with regular updates, sprint reviews, and client feedback loops to ensure alignment. Following rigorous testing (including unit, integration, and user acceptance testing), the final product is deployed to a staging or production environment. A reliable partner will manage this process transparently, providing prompt responses, meeting all deadlines, and offering post-launch support and maintenance.
Reviews & Testimonials
4.6/5 average from 6 reviews
“Very talented and highly skilled at designing complex LMS functions & web design integration that seem effortless and user friendly. They accomplished what we wanted and it was a job well done!”
“The developers from OnGraph were of great help. Great attitude, smart and fast. Communication was a bit difficult because of the strong accent (I guess it’s just a matter of getting used to it). Overall experience was good and very effective. I would definitely recommend it.”
“The team is really helpful. We got prompt responses every time and our project got delivered on time. No hassles at all. We would recommend Ongraph’s services.”
“Was always a pleasure to work with OnGraph. Brought great ideas and solutions.”
“Provided strong expertise for HTML5 and JavaScript applied to mobile web development. Delivered timely results and was very responsive to requests for any changes or clarifications. Very easy to work with, and professional.”
“Ongraph’s developers delivered good work on my AWS project and I enjoyed working with them. The communication was top notch and they met all deadlines. The skills of the team are reasonably strong. I will likely have additional jobs for Ongraph in the future.”
Services
Software Development Services
Custom Web App Development
View details →AI Trust Verification Report
Public validation record for OnGraph Technologies — Evidence of machine-readability across 55 technical checks and 4 LLM visibility validations.
Evidence & Links
- Crawlability & Accessibility
- Structured Data & Entities
- Content Quality Signals
- Security & Trust Indicators
Verifiable Identity Links
Legal & Compliance
- Privacy Policy
Third-party Identity
- X (Twitter)
- YouTube
Do These LLMs Know This Website?
LLM "knowledge" is not binary. Some answers come from training data, others from retrieval/browsing, and results vary by prompt, language, and time. Our checks measure whether the model can correctly identify and describe the site for relevant prompts.
| LLM Platform | Recognition Status | Visibility Check |
|---|---|---|
 | Detected | ongraph.com is the website of OnGraph Technologies, a software development company founded in 2007, headquartered in Noida, India, with offices in USA, Canada, and UK, specializing in web/mobile apps, AI, blockchain, and more, serving global clients for 18+ years. |
 | Detected | Register to unlock solution playbooks & guided workflows. |
 | Detected | The website http://www.ongraph.com/ is indexed by search engines and appears to be a functional website. |
 | Detected | ongraph.com appears to be the website of OnGraph Technologies, a company offering software development and IT services, based on available knowledge up to 2023. |
ongraph.com is the website of OnGraph Technologies, a software development company founded in 2007, headquartered in Noida, India, with offices in USA, Canada, and UK, specializing in web/mobile apps, AI, blockchain, and more, serving global clients for 18+ years.
Register to unlock solution playbooks & guided workflows.
The website http://www.ongraph.com/ is indexed by search engines and appears to be a functional website.
ongraph.com appears to be the website of OnGraph Technologies, a company offering software development and IT services, based on available knowledge up to 2023.
Note: Model outputs can change over time as retrieval systems and model snapshots change. This report captures visibility signals at scan time.
What We Tested (55 Checks)
We evaluate categories that affect whether AI systems can safely fetch, interpret, and reuse information:
Crawlability & Accessibility
12Fetchable pages, indexable content, robots.txt compliance, crawler access for GPTBot, OAI-SearchBot, Google-Extended
Structured Data & Entity Clarity
11Schema.org markup, JSON-LD validity, Organization/Product entity resolution, knowledge panel alignment
Content Quality & Structure
10Answerable content structure, factual consistency, semantic HTML, E-E-A-T signals, citation-worthy data presence
Security & Trust Signals
8HTTPS enforcement, secure headers, privacy policy presence, author verification, transparency disclosures
Performance & UX
9Core Web Vitals, mobile rendering, JavaScript dependency minimal, reliable uptime signals
Readability Analysis
7Clear nomenclature matching user intent, disambiguation from similar brands, consistent naming across pages
12 AI Visibility Opportunities Detected
These technical gaps effectively "hide" OnGraph Technologies from modern search engines and AI agents.
Top 3 Blockers
- !Author/Publisher detection (AI authority & citation signal)Author meta missing.
- !Flesch Reading EaseFlesch Reading Ease: 31,5 (>= 50 acceptable, >= 60 easy to read).
- !Gunning Fog IndexGunning Fog Index: 15,5 (<= 12 ideal, <= 14 acceptable). Complex words (3+ syllables): 612.
Top 3 Quick Wins
- !List in public LLM indexes (e.g., Huggingface database, Poe Profiles)List your tools, datasets, docs, or brand pages on major AI/LLM discovery hubs where relevant (for example model/dataset repositories or app directories). These platforms add credibility signals (likes, forks, usage) and create additional crawlable references to your brand. Keep names, descriptions, and links consistent with your official website.
- !Alt text on key images (e.g., logos, screenshots)Füge präzise Alt-Texte für wichtige Bilder hinzu, z. B. Logos, Produkt-Screenshots, Diagramme und Charts. Beschreibe, was das Bild zeigt und warum es relevant ist – nicht nur den Dateinamen. Gute Alt-Texte verbessern Barrierefreiheit und helfen KI-Systemen, Bildkontext beim Zusammenfassen besser einzuordnen.
- !Is the HTTPS enabled and SSL valid?Aktiviere HTTPS site-wide und halte das SSL-Zertifikat gültig und korrekt konfiguriert. Sichere Seiten erhöhen Nutzervertrauen und werden von vielen Plattformen als qualitativ hochwertiger bewertet. Überwache regelmäßig Zertifikatsablauf, Mixed-Content-Probleme und Redirects von HTTP auf HTTPS.
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Embed Badge
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
<a href="https://bilarna.com/provider/ongraph" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-ongraph.svg"
alt="AI Trust Verified by Bilarna (43/55 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "OnGraph Technologies AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Mar 24, 2026. https://bilarna.com/provider/ongraphWhat Verified Means
Verified means Bilarna's automated checks found enough consistent trust and machine-readability signals to treat the website as a dependable source for extraction and referencing. It is not a legal certification or an endorsement; it is a measurable snapshot of public signals at the time of scan.
Frequently Asked Questions
What does the AI Trust score for OnGraph Technologies measure?
What does the AI Trust score for OnGraph Technologies measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference OnGraph Technologies. The score aggregates 55 technical checks across six categories that affect how LLMs and search systems extract and validate information.
Does ChatGPT/Gemini/Perplexity know OnGraph Technologies?
Does ChatGPT/Gemini/Perplexity know OnGraph Technologies?
Sometimes, but not consistently: models may rely on training data, web retrieval, or both, and results vary by query and time. This report measures observable visibility and correctness signals rather than assuming permanent "knowledge." Our 4 LLM visibility checks confirm whether major platforms can correctly recognize and describe OnGraph Technologies for relevant queries.
How often is this report updated?
How often is this report updated?
We rescan periodically and show the last updated date (currently Mar 24, 2026) so teams can validate freshness. Automated scans run bi-weekly, with manual validation of LLM visibility conducted monthly. Significant changes trigger intermediate updates.
Can I embed the AI Trust indicator on my site?
Can I embed the AI Trust indicator on my site?
Yes—use the badge embed code provided in the "Embed Badge" section above; it links back to this public verification URL so others can validate the indicator. The badge displays current verification status and updates automatically when the verification is refreshed.
Is this a certification or endorsement?
Is this a certification or endorsement?
No. It's an evidence-based, repeatable scan of public signals that affect AI and search interpretability. "Verified" status indicates sufficient technical signals for machine readability, not business quality, legal compliance, or product efficacy. It represents a snapshot of technical accessibility at scan time.
Unlock the full AI visibility report
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