Manatal Pricing vs Hire Forge AI for Small Teams (2026)

Both Hire Forge AI and Manatal market themselves to small teams that want AI in their hiring process. But they solve fundamentally different problems, and choosing the wrong one means six months of workflow debt before you realise the fit was off.

A quick transparency note: this post is written by the Hire Forge AI team. We've done our best to give Manatal a fair assessment and to name the scenarios where it's genuinely the better choice. Where that's true, we say so plainly. Apply the usual scepticism.

For a broader look at the full landscape of AI recruitment tools, start with our best AI recruitment software guide for SMBs.

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What's the Real Difference Between Hire Forge AI and Manatal?

Organisations with dedicated recruiters reported a median of 20 requisitions managed per recruiter annually in SHRM's 2025 Recruiting Benchmarking data. The median rose sharply with organisation size. That workload creates two distinct problems: pipeline management and screening quality. Hire Forge AI solves the second. Manatal solves the first, with AI features added on top.

Hire Forge AI is a standalone AI screener. It scores and ranks CVs against your job criteria. It doesn't post jobs, manage candidate pipelines, send offer letters, or track interviews. If you already have a workflow, even a shared inbox and a spreadsheet, Hire Forge AI slots in as a dedicated screening layer.

Manatal is a full applicant tracking system. It handles job posting to 2,500+ boards, Kanban-style pipeline management, candidate communication, LinkedIn enrichment, and AI-assisted candidate scoring. The AI is a feature of the ATS, not the product itself.

This distinction matters more than any feature comparison. Neither tool is "better" in the abstract. They serve different stages of different hiring workflows. A team with no ATS who's drowning in pipeline chaos will not solve their problem with Hire Forge AI alone. A team with a working ATS that can't efficiently screen 200 applications per role doesn't need to migrate to a new ATS, they need better screening.

Not sure whether you need a full ATS or a dedicated screener? See our ATS vs dedicated AI screener guide for SMBs.

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How Does the Pricing Really Compare?

Among organisations experimenting with or actively integrating generative AI in hiring, talent professionals report saving an average of 20% of their work week (LinkedIn Future of Recruiting, 2025). But the cost of getting there varies wildly depending on which tool you choose and how your team is structured.

Hire Forge AI Pricing

Pricing is in GBP. Approximate USD equivalents: Starter ~$32/month, Professional ~$64/month at current exchange rates. Credits are simple: 1 credit = 1 CV screened. There's no per-user charge. A 3-person HR team all accessing the platform pays the same flat fee as a solo recruiter.

Manatal Pricing

The automation wall is the critical detail here. Workflow automations, automatic stage moves, bulk email triggers, scheduled actions, are locked behind the Enterprise tier at $35/user/month (annual). A 3-person team on Professional pays $45/month but must manually manage pipeline actions. That same team on Enterprise pays $105/month to get the automations most small teams assume are standard.

Our finding: For a 3-person HR team, Manatal Professional costs $45/month on annual billing, cheaper than Hire Forge AI Professional at ~$64/month. But without automations, Manatal Professional requires manual pipeline management for every candidate movement. The moment you factor in the time cost of that manual work, the economics shift. Enterprise at $105/month brings the functionality most buyers expect when they sign up for the Professional tier.

For a full pricing breakdown across eight AI recruitment platforms, see AI recruitment software pricing 2026: what SMBs actually pay.

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What Features Do You Get with Each Tool?

61% of talent acquisition professionals believe AI can improve how they measure quality of hire, and companies whose recruiters use AI-Assisted Messaging most are 9% more likely to make a quality hire than the lowest-use group (LinkedIn Future of Recruiting, 2025). But which features actually deliver that improvement depends on where AI is applied in your workflow.

Manatal wins on breadth. It's a complete ATS with AI added. Hire Forge AI wins on screening depth and pricing simplicity. The table isn't a measure of which is better overall, it's a map of the trade-offs.

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Which Tool Has Better AI Screening Quality?

Recruiters spend 22% of their work week reviewing CVs, for a 200-application role, initial screening takes between 5 and 15 hours (Shortlistd.io, 2025). AI tools can reduce that time by up to 75%, pushing recruiter productivity from 8 to 14 roles managed per month (Second Talent, 2025). The quality of the AI screening determines whether those time savings actually translate to better hires.

Manatal's AI scoring works by matching candidate profiles against job descriptions and enriching them with LinkedIn data. Manatal holds 4.8/5 across 147 reviews on G2 and 4.6/5 across 141 reviews on Capterra (checked July 2026). User feedback is consistently positive on pipeline UX and LinkedIn enrichment. Recurring criticisms include reporting limitations, inflexible search and AI suggestions that can miss nuanced candidates.

Non-English CV handling is a real gap. Multiple Manatal user reviews flag that the AI scoring is less reliable for CVs written in non-English formats, British understatement, Dutch directness, South Asian formality, even when the content is strong. The AI was trained predominantly on English-language, North American CV conventions.

Our finding: When building Hire Forge AI's scoring model, we discovered that AI screeners trained on English-heavy datasets produce systematically lower match scores for non-native English speakers, even when the underlying skills and experience are a strong fit. We built explicit bias mitigation into our scoring to account for this. It's not a solved problem for any tool in the market, but it's worth testing directly if your applicant pool includes non-native English writers.

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Who Should Choose Hire Forge AI?

AI adoption among small businesses with 10–99 employees reached 31% in 2025, up from just 8% in 2022, a 288% increase in three years (Second Talent, 2025). Most of that growth isn't teams replacing their entire recruitment stack. It's teams adding a focused AI layer to an existing process.

Hire Forge AI fits best in three situations.

You already have a workflow and want better screening. If you're using a free ATS, a job board's built-in tracker, or even email and spreadsheets, Hire Forge AI adds CV scoring without requiring a system migration. You keep what works and upgrade the screening step specifically.

Your hiring volume is inconsistent. Credit-based pricing means you pay for what you use. A team hiring intensively for 3 months then going quiet for 6 months doesn't keep paying for unused capacity. Monthly flat-fee tools still charge during quiet periods.

You want screening depth over ATS breadth. The Professional plan (1,000 credits/month) handles high-volume screening with detailed skill matching and filtering. If screening quality is the bottleneck, not pipeline management or job posting, dedicated screening beats ATS AI features.

For a complete walkthrough of how AI CV screening works in practice, see our complete guide to AI resume screening for SMBs.

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Who Should Choose Manatal?

The average cost-per-hire for non-executive roles was $5,475 in SHRM's 2025 benchmark (SHRM, 2025). When costs at that level apply to your business, having a proper ATS that tracks every candidate, every stage, and every communication isn't a nice-to-have. It's the infrastructure that makes repeatable hiring possible.

Choose Manatal in these situations.

You have no ATS and need one now. If you're tracking candidates in a spreadsheet and losing track of where people are in the process, Manatal Professional gives you a functional ATS with AI scoring for $45/month (3 users, annual). That's a reasonable entry point.

You consistently manage 10–15 active roles. Manatal's Professional plan caps at 15 active jobs. If you're near that cap regularly, the per-job limits fit your volume. Teams with variable volume may find credit-based tools more efficient.

Your applicant pool is primarily English-language CVs. Manatal's AI scoring performs best with English CVs. If your applicants write primarily in English and follow conventional CV formats, the accuracy concerns above are less relevant.

You want a 14-day trial before committing. Manatal's trial is generous, 14 days, no credit card required. If you want to test a full ATS before paying anything, that's a meaningful advantage.

One important warning on automations: Don't sign up for Manatal Professional expecting automations. They're not there. If workflow automations are part of your plan, budget for Enterprise at $35/user/month from day one.

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Frequently Asked Questions

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The Verdict

These two tools solve different problems. The right choice comes down to which problem you actually have.

Choose Hire Forge AI if:

• You already have a recruitment workflow and want to improve screening quality
• Your hiring volume varies month to month (credit pricing fits)
• You want a flat fee regardless of how many team members need access
• Screening depth matters more to you than pipeline management features
• You hire from a diverse, international applicant pool

Choose Manatal if:

• You have no ATS and need one from scratch
• You consistently manage 10–15 active roles and need structured pipeline tracking
• Your applicants write primarily in English using conventional CV formats
• You want a 14-day trial before committing any budget
• You're prepared to budget for Enterprise ($35/user) if automations are part of your plan

Neither tool does everything. Knowing which problem is yours is the decision.

If a full ATS remains under consideration, compare the same screening-first approach in Hire Forge AI versus Workable.

For a side-by-side comparison of eight AI recruitment tools across features, pricing, and use case fit, see our best AI recruitment software guide for SMBs.