Sistava is an AI workforce platform where solo founders hire AI employees to run their business around the clock. Each AI employee has a specific role like sales, marketing, or customer support, with real tool integrations, persistent memory, and the ability to work inside your existing apps like Slack, Gmail, and HubSpot.

What is an AI employee?

An AI employee is an autonomous AI agent with a defined role, persona, skill set, and tool access. Unlike a chatbot that only answers questions, an AI employee takes on recurring work like writing emails, qualifying leads, answering support tickets, and publishing content, and it works on its own around the clock without being prompted each time.

How is Sistava different from project management software?

Sistava is not project management software. You hire AI employees who do the work, not a tool that tracks work done by humans. Your AI employees run sales outreach, write marketing content, answer support tickets, and handle operations on their own, without constant supervision.

How much does Sistava cost?

Sistava has a free plan you can start without a credit card, plus paid plans that scale with how much work you hand to your AI employees. See the pricing page for current plans.

What can AI employees do on Sistava?

Your AI employees take on the recurring work that runs a business: qualifying and reaching out to leads, writing and publishing marketing content, answering support tickets, and handling day to day operations. Each one comes with a role and skill set, so it can start working the day you hire it.

Sistava is built for solo founders and small teams who need to run sales, marketing, support, and operations without hiring a full human team. It gives you the equivalent of a growth team you can hire in minutes.

Best AI HR and Recruiting Agents to Hire Faster

Guide — 2026-08-05 — by Mahmoud Zalt

A plain-language guide to the top AI HR and recruiting agents. What each one actually does, who it fits, and which one turns screening into a finished hire.

Why AI recruiting agents are showing up in every hiring stack

Hiring has a math problem. A single open role can pull in hundreds of applications, and a recruiter can only read so many resumes before quality drops off a cliff. Meanwhile the candidates worth talking to are not sitting on job boards, they are employed, busy, and getting ignored by generic outreach from three other companies at the same time. Every week a role stays open is a week of lost output, and the recruiter stuck skimming resumes at 6pm has less time to actually sell the opportunity to someone great.

AI recruiting agents exist to close that gap. Some read and score every resume the moment it lands, some hold a real conversation with a candidate over chat and book the interview themselves, and some go find people who never applied in the first place. A few go further and stay in the loop through the offer and onboarding. The tools below cover the range, from enterprise platforms built for thousands of hires a year down to a general AI employee a small team can hire in minutes.

Benefits

Reads resumes for substance, not keywords

It should understand skills and experience in context, not just match words on a page.

Talks to candidates, not just about them

Conversational screening and scheduling saves the back and forth of email chains.

Finds people who never applied

Passive sourcing matters when your best hire is already employed somewhere else.

Applies criteria consistently

The same rigor on resume 5 and resume 500 reduces the bias a tired human reviewer introduces.

Keeps a human in the loop on judgment calls

Clear matches and clear declines can move on their own. Borderline calls should still reach a person.

Finishes work, not just search

The best agents draft the outreach, the schedule, or the offer instead of stopping at a shortlist.

The tools at a glance

Tool	Best for	Main trade-off
Paradox AI	High-volume frontline hiring, chat-based screening and scheduling	Enterprise-only since the Workday acquisition, custom sales-quoted pricing
Eightfold AI	Large enterprises matching candidates against a huge talent database	Built for Fortune 500 HR teams, not a self-serve small team tool
HireVue	Structured video interviews at scale with compliance built in	Six-figure enterprise contracts common, not priced for small teams
SeekOut	Sourcing passive candidates from a huge indexed talent pool	Seat minimums and annual contracts even on the smaller plan
Fetcher	Hands-off sourcing where vetted candidates land in your inbox	Email-only outreach and an annual candidate cap on some plans
Sistava	A small team that wants screening, outreach, and offers handled by one AI employee	Not built for six-figure enterprise sourcing databases

Paradox AI

Paradox AI builds Olivia, a conversational hiring assistant that large employers like 7-Eleven, Tractor Supply, and General Motors use to screen high-volume applicants, schedule interviews, run onboarding, and manage referrals, all over chat and text. It is purpose-built for frontline hiring at a scale a human recruiting team cannot keep up with by hand, thousands of roles a year rather than dozens. Workday acquired Paradox for roughly $1 billion in October 2025 and folded Olivia into its broader enterprise HR suite, which means it now ships as part of a bigger platform rather than a standalone buy. Pricing is custom and sales-quoted, typical of enterprise HR software sold to talent acquisition teams rather than a small business owner signing up directly.

Best for: Large employers filling thousands of frontline roles a year.
Strengths: A deeply specialized conversational engine, proven on Fortune 500 hiring volume for screening and scheduling.
Trade-offs: Enterprise-only distribution and custom pricing since joining Workday, no self-serve signup.

Eightfold AI

Eightfold AI calls itself an agentic talent intelligence company, serving more than 160 Fortune 500 clients including Salesforce, Citi, HP, and HSBC. Its AI agents interview candidates and match them against a database the company describes as 1.6 billion career trajectories, supporting talent acquisition, internal mobility, and workforce planning at enterprise scale. Founded in 2016 and based in Santa Clara, California, Eightfold has raised more than $410 million, including a $220 million Series F in August 2024 at a $2.1 billion valuation. It is deep, specialized infrastructure built for a large company's existing HR organization, with custom, sales-quoted pricing to match.

Best for: Enterprises that need to match candidates and existing employees against a huge talent database.
Strengths: A proprietary matching database at a scale of scope no general workforce platform has an equivalent to.
Trade-offs: Built and priced for Fortune 500 HR teams, not a small business with no dedicated recruiting org.

HireVue

HireVue is a video interviewing and assessment platform built for structured, at-scale hiring. Candidates record live or on-demand video interviews, and HireVue's AI layer transcribes and tags responses against competency frameworks so interviewers stay consistent from candidate 1 to candidate 500. Enterprise plans add AI screening and benchmarking, adverse-impact testing, chatbot and text-to-apply intake, and support for 40 languages, with pre-built integrations into major applicant tracking systems. Compliance is a core selling point: HireVue ships SOC 2, ISO 27001, and GDPR controls, and it updated its consent workflow to meet 2026 amendments to the Illinois AI Video Interview Act, which require explicit written consent before any AI analysis of an interview. Plans run from roughly $35,000 a year at the entry tier up into six figures for full enterprise deployments.

Best for: Companies running structured video interviews at volume with compliance requirements to meet.
Strengths: Consistent, benchmarked interview scoring plus built-in handling of interview-specific AI consent law.
Trade-offs: Enterprise pricing that starts in the tens of thousands per year, not built for a small hiring budget.

SeekOut

SeekOut is a sourcing platform built for finding candidates who are not actively applying anywhere. Founded in 2017 and based in Bellevue, Washington, it indexes more than 800 million professional profiles from across the open web and enriches them with AI-inferred skills and diversity signals, so a recruiter can search on nuanced criteria instead of a plain keyword list. Enterprise customers include VMware, Salesforce, Merck, UiPath, and Anaplan, and its newer Recruit Core plan brings enterprise-grade sourcing down to small teams and solo recruiters, alongside newer autonomous agents that auto-generate scoring rubrics straight from a job description. Its standard Recruit plan requires a 3-seat minimum with annual contracts starting around $15,000.

Best for: Finding and evaluating passive candidates across a massive indexed talent pool.
Strengths: An 800 million profile database with AI-inferred skills matching well beyond keyword search.
Trade-offs: Seat minimums and annual contracts even on the plan aimed at smaller teams.

Fetcher

Fetcher runs sourcing more like a service than a self-serve search tool. You define the role, the ideal candidate profile, and an outreach sequence, and Fetcher's AI continuously sources, screens, and messages passive candidates from a database of more than 500 million profiles, delivering vetted matches to your inbox for review. It sits between fully automated and fully manual, blending machine learning with human review on the vetting side. Pricing starts at $379 a month on the Growth plan and rises to the Amplify plan at $649 to $849 a month, with a custom Enterprise tier above that, and there is no free tier or trial. Outreach is native to email only, so LinkedIn messaging needs a workaround, and some plans cap the number of candidates delivered per year.

Best for: Teams that want a steady stream of vetted passive candidates without running sourcing themselves.
Strengths: Hands-off sourcing from a 500 million profile database with built-in outreach sequencing.
Trade-offs: No free tier, email-only native outreach, and annual candidate caps on some plans.

Every tool above solves one piece of the hiring funnel well: chat-based screening at frontline scale, matching against a huge talent database, structured video interviews, or passive sourcing. What most of them still leave you with is a shortlist or a booked interview, and then the rest of the work, the outreach follow-up, the offer letter, the negotiation, lands back on a person. That gap is where a general AI employee earns its place in the stack.

Sistava

Sistava is an AI Employee platform, and that is what sets it apart from the specialized tools above. Instead of one function bolted onto your applicant tracking system, you hire an AI recruiter that reads and scores every resume against your specific job requirements, then routes clear matches forward and clear declines out automatically while keeping borderline calls with a person. It researches passive candidates and sends outreach that references their actual background rather than a template, and it handles interview scheduling across timezones without the usual email chain. It goes a step further than most of the tools above too, once a role is ready to close it benchmarks compensation, drafts and sends the offer letter, and routes any candidate counter back to you with the market data behind it instead of promising flexibility on its own.

Because Sistava is a general workforce platform, the same AI employee (or a teammate you add later) can pick up onboarding, pipeline reporting, and diversity analytics on hiring decisions, and it is self-serve: sign up and hire an AI employee in minutes on a free forever plan, no enterprise sales call required.

Best for: Small teams and solo founders who want screening, outreach, scheduling, and offers handled end to end.
Strengths: Self-serve setup, a free forever plan, and an AI employee that finishes the work instead of handing you a shortlist.
Trade-offs: Not built to out-match Eightfold or SeekOut's proprietary sourcing databases at pure enterprise scale.

Which AI recruiting agent fits your team

Choose Paradox AI if: you are filling thousands of frontline roles a year and need chat-based screening at that scale.
Choose Eightfold AI if: you are a large enterprise that needs to match candidates against a huge proprietary talent database.
Choose HireVue if: structured video interviews at scale, with heavy compliance requirements, are the core of your process.
Choose SeekOut if: sourcing passive candidates from a massive indexed profile pool is your main bottleneck.
Choose Fetcher if: you want vetted passive candidates delivered without running sourcing yourself.
Choose Sistava if: you are a small team that wants one AI employee to screen, reach out, schedule, and draft the offer.

The bottom line

Run a simple test before you commit to any of these. Feed the tool a real job description and a real batch of resumes, check that the ranking matches your own read of who is qualified, then ask it to do the next step, draft an outreach message, book a slot, or write an offer, and see how much of that you would actually send as is. The tools that pass that last test are the ones that save real hours, not just make the shortlist look tidier.

If your hiring bottleneck is screening thousands of frontline applicants or sourcing from a database bigger than any team could build alone, the enterprise platforms above earn their price tag. If your bottleneck is that a small team has no dedicated recruiter and needs the whole loop, screening through offer, handled by one AI employee, that is the gap Sistava is built to close.

FAQ

What is an AI recruiting agent?

It is software that automates part or all of the hiring funnel, reading resumes, sourcing passive candidates, scheduling interviews, or drafting offers, using AI to understand context instead of matching on keywords alone.

Are AI hiring tools legal to use, given rules like NYC Local Law 144 and the EU AI Act?

AI hiring tools are broadly legal to use, but the rules vary by where your candidates are and keep evolving, so this is not legal advice, check with counsel for your situation. New York City's Local Law 144 requires a bias audit and candidate notice before using an automated employment decision tool on NYC-based candidates. The EU AI Act classifies AI systems used for recruitment and candidate evaluation as high-risk, which brings extra documentation, human-oversight, and transparency obligations for anyone using them on EU candidates. Keeping a person in the loop on real decisions, not just automated ones, is the safest posture regardless of jurisdiction.

Does AI screening introduce bias, or reduce it?

It depends on how it is set up and audited. Consistent criteria applied the same way to every resume can reduce the bias a tired human reviewer introduces, but a poorly trained or unaudited model can just encode different bias instead. Look for a tool that lets you set explicit criteria, logs every score and decision for review, and keeps borderline calls with a person rather than letting the model reject candidates on its own.

How much do these tools typically cost?

It spans a wide range. Enterprise platforms like Paradox AI, Eightfold AI, and HireVue are custom, sales-quoted deals often running into five or six figures a year. Fetcher publishes plans starting around $379 a month, SeekOut's smaller Recruit plan starts near $15,000 a year with a seat minimum, and Sistava has a free forever plan for a small team getting started.

How is Sistava different from a pure sourcing or screening tool?

A sourcing or screening tool hands you a list or a score and stops there. Sistava gives you an AI employee that reads your job requirements, screens and scores applicants, reaches out to passive candidates, schedules interviews, and drafts the offer letter, so the loop actually closes instead of landing back on a recruiter's desk.