# Hila vs Surf

Hila records 0 monthly visits with 0% month-over-month growth and Enterprise pricing. Surf records 116,252 monthly visits with -18.9% growth and Free, Pro, Max, API credits pricing.

| Metric | [Hila](https://openaitools.app/tool/hila) | [Surf](https://openaitools.app/tool/surf) |
| :--- | :--- | :--- |
| Website URL | https://www.hila.ai | https://asksurf.ai |
| Categories | AI For Finance, Large Language Models (LLMs), AI Investing, AI Research Tool | AI Crypto, AI Copywriting, AI Creative Writing, AI For Finance |
| Pricing Model | Enterprise | Free, Pro, Max, API credits |
| Monthly Visits | 0 | 116,252 |
| MoM Growth Rate | 0% | -18.9% |
| Primary Market | Global | South Korea |
| Direct Visits | 0 | 88,813 |
| Review Score | 4.5 | 4.2 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## Hila

Hila positions itself around one blunt premise: LLMs alone do not solve business problems because they hallucinate. The platform layers the missing components — content-aware customization to user, company and data preferences, anti-hallucination review pipelines, and a text-to-SQL engine that uses multiple models to eliminate fabrication on structured data — so generative AI can be trusted for real analytics work. Vianai reports benchmarked reliability of 99% and accuracy improvements up to 96.42%.

The architecture is deliberately open and swappable. Hila orchestrates across public and open-source models in an agentic workflow, allowing advanced extraction of tables, charts and metadata from hundreds of thousands of documents at roughly a quarter of the previous cost. Because it supports custom and locally deployed models for translation, embedding and SQL generation, sensitive questions, answers and data can stay private behind a company firewall, and the platform is described as deployment-agnostic across cloud types and technology vendors.

A core differentiator is LLMOps. Hila Monitoring tracks cost, quality, variability and reliability of the models running inside an application, with root-cause analysis, cost, quality and latency dashboards, hotspot and outlier analysis, model comparison, policy management and explainability. This turns GenAI adoption into something with measurable, trackable return rather than a leap of faith.

**Pricing & Plans:** Enterprise custom pricing. Hila is sold as an enterprise platform through demos and direct sales, so no public list price is published.

- **Anti-hallucination pipeline:** A consortium of models reviews each answer for errors beyond standard RAG, while a multi-model text-to-SQL pipeline removes fabrication on structured data.
- **Custom and local LLMs:** Fine-tuned and locally deployed models handle anti-hallucination, text-to-SQL, translation and vector embeddings for accuracy, privacy and speed.
- **Agentic document extraction:** An agentic workflow extracts tables, charts and metadata from hundreds of thousands of documents with higher accuracy and around 4x lower cost.
- **LLMOps monitoring:** Dashboards and alerts track cost, quality, variability and reliability, with root-cause analysis, hotspot and outlier detection, model comparison and policy management.
- **Deployment agnostic and certified:** Works across cloud providers and technology vendors as a unified AI layer, behind the customer's firewall, with SOC 2 and ISO 27001 certification.

**Strengths:** Strong focus on measurable anti-hallucination rather than general chat; Flexible architecture with swappable public and local models; Robust LLMOps monitoring with root-cause and outlier analysis; SOC 2 and ISO 27001 certified with firewall-friendly local deployment

**Limitations:** Enterprise-only, so there is no self-serve free tier or published pricing; Requires the customer to request a demo and go through a sales process; Aimed at large organizations, which makes it heavy for individual analysts

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

## Surf

Surf positions itself as the intelligence layer for open financial markets. The core experience is conversational: you ask a question about a token, a protocol, a company, or a market move, and the system returns an answer grounded in live market feeds, onchain events, SEC filings, and news, with the underlying sources cited so you can verify the reasoning. Around that chat experience, Surf layers a set of named products such as CryptoPulse and Cryptopedia, plus an in-browser Studio for building analysis.

What separates Surf from a generic chatbot is the data plumbing behind it. The company says its datasets are kept current, structured, and unified across fragmented sources before any model touches them, which matters because much of crypto data is scattered across exchanges, chains, and regional venues. Surf also highlights its coverage of hard-to-source markets, including multilingual Asian centralized exchange data, as a differentiator for institutional research.

For builders, Surf exposes the same intelligence through an API, an MCP server, a CLI, and reusable agent skills, so a research desk can embed crypto and equities context directly into its own agents and internal tools. Surf states it is used by more than 500,000 users across 700-plus organizations, and its developer layer is documented separately for teams that want to integrate rather than click. Surf is operated by Cybertino Inc. and is not affiliated with any exchange or broker; outputs are research assistance, not investment advice.

**Pricing & Plans:** Surf publishes a tiered pricing page covering Free, Pro, and Max plans alongside API credit packages, with annual billing options and Studio credits bundled at higher tiers. Exact figures change over time, so check the official pricing page before purchasing.

- **Cited conversational analyst:** Ask questions about tokens, protocols, or equities in plain language and receive answers backed by visible sources rather than unsupported assertions.
- **Unified multi-source data:** Market prices, onchain events, SEC filings, and news are normalized into one structured layer so the model reasons over consistent inputs.
- **Developer integration layer:** API, MCP server, CLI, and agent skills let teams wire Surf intelligence into their own agents, dashboards, and internal research workflows.
- **CryptoPulse and Cryptopedia products:** Purpose-built modules for tracking market-moving developments and for looking up structured context on projects and assets.
- **Coverage of hard-to-source markets:** Surf emphasizes structured multilingual data from Asian centralized exchanges, a category many Western data vendors handle poorly.

**Strengths:** Answers come with citations, which makes verification practical rather than a leap of faith.; Covers both onchain crypto data and US equities in a single interface, useful for cross-asset research.; Genuine developer surface area: API, MCP, CLI, and agent skills, not just a chat box.; Institutional framing and published case studies signal real deployments with funds and exchanges.

**Limitations:** It is a research and intelligence tool, not a trading or execution venue, so it will not place orders for you.; Deeper data access and higher usage tiers sit behind paid plans and API credits.; Coverage quality varies by asset and venue; niche or thinly traded markets may return thinner answers.

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

## Frequently Asked Questions

### How do Hila and Surf compare in monthly traffic?

Hila has 0 monthly visits, while Surf has 116,252. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hila has a month-over-month growth rate of 0%; Surf has -18.9%.

### How does pricing compare?

Hila: Enterprise. Enterprise custom pricing. Hila is sold as an enterprise platform through demos and direct sales, so no public list price is published. Surf: Free, Pro, Max, API credits. Surf publishes a tiered pricing page covering Free, Pro, and Max plans alongside API credit packages, with annual billing options and Studio credits bundled at higher tiers. Exact figures change over time, so check the official pricing page before purchasing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [LuxAlgo](https://openaitools.app/tool/luxalgo) | 985,376 | +9.8% | Freemium, Free Trial, Paid | AI trading indicators, real-trade orderflow and charts in one platform | [.md](https://openaitools.app/tool/luxalgo.md) |
| 2 | [MacroMicro](https://openaitools.app/tool/macromicro) | 928,258 | +22.5% | Freemium, Paid | Global macro data and AI research platform for smarter economic decisions | [.md](https://openaitools.app/tool/macromicro.md) |
| 3 | [Aime](https://openaitools.app/tool/aime) | 260,428 | +11.4% | Freemium | AI investing copilot for stock research, screening and market signals | [.md](https://openaitools.app/tool/aime.md) |
| 4 | [TradesViz](https://openaitools.app/tool/tradesviz) | 226,547 | -7.7% | Freemium | An AI-powered trading journal with 600+ statistics and broker auto-sync | [.md](https://openaitools.app/tool/tradesviz.md) |
| 5 | [Intellectia.Ai](https://openaitools.app/tool/intellectia-ai) | 171,347 | +18% | Free Trial, Paid | AI-driven market analysis for faster, data-backed investing decisions | [.md](https://openaitools.app/tool/intellectia-ai.md) |
| 6 | [Tradytics](https://openaitools.app/tool/tradytics-com) | 103,044 | -9.9% | Freemium, Free Trial | Options flow, dark pools and dealer gamma with an AI analyst built in | [.md](https://openaitools.app/tool/tradytics-com.md) |
| 7 | [Basedash](https://openaitools.app/tool/basedash-com) | 75,536 | +12.7% | Free Trial, Paid, Contact for Pricing | AI-native business intelligence your whole team can actually trust | [.md](https://openaitools.app/tool/basedash-com.md) |
| 8 | [Clarity AI](https://openaitools.app/tool/clarity-ai) | 74,596 | -22.5% | Contact for Pricing | AI-native platform for extra-financial intelligence | [.md](https://openaitools.app/tool/clarity-ai.md) |
| 9 | [LunarCrush](https://openaitools.app/tool/lunarcrush-com) | 69,001 | -9.1% | Paid | Real-time social sentiment and market intelligence across 40+ categories | [.md](https://openaitools.app/tool/lunarcrush-com.md) |
| 10 | [Allganize](https://openaitools.app/tool/allganize-ai) | 38,867 | +49.7% | Contact for Pricing | Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding | [.md](https://openaitools.app/tool/allganize-ai.md) |

---
Source: https://openaitools.app/compare/hila-vs-surf

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