# deepsense.ai vs StackRef

deepsense.ai records 57,084 monthly visits with -4.3% month-over-month growth and Contact for Pricing pricing. StackRef records 765 monthly visits with +184.4% growth and Contact for Pricing pricing.

| Metric | [deepsense.ai](https://openaitools.app/tool/deepsense-ai) | [StackRef](https://openaitools.app/tool/stackref) |
| :--- | :--- | :--- |
| Website URL | https://deepsense.ai | https://stackref.com |
| Categories | AI Consulting, Large Language Models (LLMs), AI Copilot, AI Agent | Other |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 57,084 | 765 |
| MoM Growth Rate | -4.3% | +184.4% |
| Primary Market | United States | Indonesia |
| Direct Visits | 22,419 | 305 |
| Review Score | 4.4 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## deepsense.ai

deepsense.ai sells delivery rather than a self-serve product. The team positions itself as applied AI specialists who combine AI engineering, product and workflow design, and production infrastructure so that organizations end up with systems they can deploy, operate and scale themselves. The numbers it publishes are substantive: 200 commercial AI projects completed, around 120 AI experts, and a decade of AI work, with long-term clients including global brands, tech enterprises and scaleups across pharma, healthcare, financial services, manufacturing, telecoms and software.

Capability areas include LLM and VLM evaluation, agentic RAG pipelines (the company open-sources its ragbits framework), custom MCP servers as enterprise AI infrastructure, AI voice bots for operations, MLOps, computer vision, edge solutions and predictive analytics, plus AI advisory and adoption programs. A recurring theme in its case studies is measurement: one engagement reported an 84% response-quality rate for a self-improving deep research agent, another achieved up to 96.3% average GPU utilization for distributed training and inference workloads, and others focus on automating accounting workflows or building conversational analytics over Microsoft Fabric data.

Engagements typically start from uncertainty — deciding which workflow to automate and building the business case — then move into architecture, implementation, evaluation harnesses and handover. The company states official partnership status with major model and cloud providers including Anthropic, OpenAI and Gemini Enterprise, which matters when regulated enterprises need vendor-supported deployment paths. It also runs an applied AI talent program and publishes open-source resources and technical webinars for its engineering audience.

**Pricing & Plans:** Contact for pricing. deepsense.ai sells custom AI engineering projects and advisory engagements rather than subscription software, so costs are quoted per scope. An open-source ragbits framework and public code resources are available at no cost.

- **Enterprise AI agents and agentic RAG:** Design and deployment of agentic retrieval pipelines and MCP servers that connect LLMs to core enterprise data with evaluation and human oversight built in.
- **LLM and VLM evaluation:** Custom evaluation datasets and measurement harnesses that score model output against business requirements instead of relying on vibes.
- **MLOps and production infrastructure:** The control, observability and deployment layer needed to run AI safely and economically at scale, including optimized GPU utilization for training and inference.
- **Computer vision, edge and predictive analytics:** Solutions spanning visual inspection, edge deployments and forecasting models for industries such as manufacturing, pharma and financial services.
- **AI advisory and adoption programs:** Structured programs that identify high-value workflows, establish the business case and define a credible path from pilot to production.

**Strengths:** Deep applied-AI bench (roughly 120 experts) with a decade of enterprise delivery record; Official partner status with major model and cloud providers, useful for regulated deployments; Covers the full path from advisory and evaluation through MLOps and handover; Open-source contributions such as ragbits give teams code they can inspect before committing

**Limitations:** No self-serve product or public price list — everything starts with a scoping conversation; Project-based consulting is a poor fit for teams wanting a cheap tool to try this week; Engagements are weighted toward large enterprises and regulated industries

[Profile (Markdown)](https://openaitools.app/tool/deepsense-ai.md)

## StackRef

StackRef is an independent consulting practice run by Keith McDuffee, a CISSP-certified cloud architect with more than 20 years across infrastructure, DevOps, and security, currently also a Senior Director of DevOps and Application Security. The consulting side provides hands-on help designing, securing, and optimizing cloud environments on AWS, GCP, and Azure, with an emphasis on being precise and clear about requirements rather than over-charging or over-complicating.

Alongside consulting, StackRef offers its own designed, self-hosted, end-to-end internal hackathon manager. This product supports the hackathon lifecycle with features such as sandbox environments, AI-assisted scoring, and team collaboration, making it useful for organizations that want to run internal innovation events on their own infrastructure rather than a third-party SaaS.

Client reviews highlight fast response, deep end-to-end infrastructure knowledge, and a willingness to dig into problems and propose multiple solutions. Being based near Boston and working remotely with clients worldwide, StackRef fits teams that want a senior, accountable expert plus a purpose-built internal hackathon tool. Pricing is arranged through a free intro call or direct email.

**Pricing & Plans:** StackRef does not publish fixed prices. Its model is contact for pricing: you book a free 30-minute intro call or email directly to discuss consulting scope or the self-hosted hackathon platform and receive a quote.

- **Cloud architecture consulting:** Hands-on architecture, security, and cost optimization across AWS, GCP, and Azure, led by a CISSP-certified architect with 20+ years of experience.
- **Security and compliance:** Focused engagements on hardening cloud environments and supporting compliance, with an emphasis on robust, well-governed infrastructure.
- **Cost optimization:** Practical work to reduce cloud spend and right-size infrastructure without sacrificing reliability.
- **Internal hackathon platform:** A self-designed, self-hosted, end-to-end internal hackathon manager covering sandbox environments and AI scoring to run innovation events.
- **Direct expert access:** Booking a free 30-minute call and working directly with the principal architect instead of going through a queue.

**Strengths:** Direct access to a CISSP-certified architect with 20+ years of experience; Cross-cloud expertise spanning AWS, GCP, and Azure; Consulting paired with a self-hosted hackathon platform; Free 30-minute intro call before committing

**Limitations:** Consulting capacity is tied to one principal architect, which can limit parallel engagements; Hackathon software and consulting are distinct offerings that may suit different buyers; No published fixed pricing, so budgeting requires a conversation; The platform is niche, focused on cloud architecture and internal hackathons rather than broad team tooling

[Profile (Markdown)](https://openaitools.app/tool/stackref.md)

## Frequently Asked Questions

### How do deepsense.ai and StackRef compare in monthly traffic?

deepsense.ai has 57,084 monthly visits, while StackRef has 765. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

deepsense.ai has a month-over-month growth rate of -4.3%; StackRef has +184.4%.

### How does pricing compare?

deepsense.ai: Contact for Pricing. Contact for pricing. deepsense.ai sells custom AI engineering projects and advisory engagements rather than subscription software, so costs are quoted per scope. An open-source ragbits framework and public code resources are available at no cost. StackRef: Contact for Pricing. StackRef does not publish fixed prices. Its model is contact for pricing: you book a free 30-minute intro call or email directly to discuss consulting scope or the self-hosted hackathon platform and receive a quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Angular](https://openaitools.app/tool/angular-dev) | 735,108 | -7.5% | Free | Google's batteries-included framework for scalable web apps | [.md](https://openaitools.app/tool/angular-dev.md) |
| 2 | [Programmers Force](https://openaitools.app/tool/programmers-force-pakistan) | 119,096 | +3.9% | Contact for Pricing | AI-driven software group building RegTech, biometrics and fintech products for enterprises | [.md](https://openaitools.app/tool/programmers-force-pakistan.md) |
| 3 | [AlphaCorp AI](https://openaitools.app/tool/alphacorp-ai) | 38,657 | +108.4% | Contact for Pricing | AI agent development studio for production-grade systems | [.md](https://openaitools.app/tool/alphacorp-ai.md) |
| 4 | [Instinctools](https://openaitools.app/tool/instinctools) | 27,941 | -1.1% | Contact for Pricing | AI-powered engineering partner for custom software and data platforms | [.md](https://openaitools.app/tool/instinctools.md) |
| 5 | [Width.ai](https://openaitools.app/tool/width-ai) | 27,714 | -7.8% | Contact for Pricing | AI & machine learning consulting that ships production systems | [.md](https://openaitools.app/tool/width-ai.md) |
| 6 | [20-63mm Medium Duty Rigid LSZH Conduit](https://openaitools.app/tool/20-63mm-medium-duty-rigid-lszh-conduit) | 24,860 | +11.3% | Contact for Pricing | Low-smoke, halogen-free rigid PVC conduit for safer electrical containment | [.md](https://openaitools.app/tool/20-63mm-medium-duty-rigid-lszh-conduit.md) |
| 7 | [Altern](https://openaitools.app/tool/altern) | 20,753 | -13.7% | Free | A curated directory, leaderboard, and newsletter for discovering AI tools | [.md](https://openaitools.app/tool/altern.md) |
| 8 | [Digital Software Labs](https://openaitools.app/tool/digital-software-labs) | 12,445 | -13.9% | Contact for Pricing | Custom software, mobile apps and AI systems built for business growth | [.md](https://openaitools.app/tool/digital-software-labs.md) |
| 9 | [Tryolabs](https://openaitools.app/tool/tryolabs-com) | 10,209 | -22.9% | Contact for Pricing | AI consulting that takes enterprises from strategy to production | [.md](https://openaitools.app/tool/tryolabs-com.md) |
| 10 | [Neoteric](https://openaitools.app/tool/neoteric-eu) | 9,345 | -4.5% | Contact for Pricing | Tech partner for custom software and AI product development | [.md](https://openaitools.app/tool/neoteric-eu.md) |

---
Source: https://openaitools.app/compare/deepsense-ai-vs-stackref

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)