Comparison
Viktor vs Balt: breadth against depth
Viktor reaches 3,200 tools across your whole company. Balt goes deep on one trade: recruitment, staffing, and the ATS and CRM that carry them.
€100 in credits when you sign up
Last updated: August 2026
- Viktor and Balt share the same shape: an agent summoned in Slack or Microsoft Teams, with a cloud environment where it writes and runs code, rather than a chatbot.
- The difference is scope. Viktor advertises more than 3,200 integrations across every function; Balt covers recruitment and staffing in depth, inside the ATS and CRM already in place.
- Both bill consumption rather than seats, Balt included, so the pricing model is not what separates them. What separates them is how many credits one recruitment task consumes.
- Balt requires human approval before anything reaches a candidate, including a rejection, and hosts data in Europe with model providers contractually excluded from training.
Scope
Recruitment
Balt · in depth, ATS and CRM included
Viktor 3,200+ tools, every function
Before anything is sent
Human approval
Balt · on everything that reaches a candidate
Viktor Bounded by the product
Hosting
Europe
Balt · on every plan, with no contract to negotiate
Viktor Not documented publicly
Choose Balt if…
Recruitment is what you sell. The same operation repeats dozens of times a week, it happens inside an ATS, and a message to a candidate must never leave without a person releasing it.
What Balt does not cover
Balt does not work finance, support or engineering. That is deliberate: depth on one trade is paid for in scope, and an agent that claims every domain knows none of them the way a recruiter needs.
What each one does
Viktor
Viktor is an AI coworker installed in Slack and Microsoft Teams, with its own cloud environment where it writes and runs code. You @-mention it and it does multi-step work across connected tools: pulling figures from a payments system, reconciling invoices, triaging a support queue, building a small internal app. It launched publicly in February 2026 and raised a $75 million Series A in May 2026.
Balt
Balt is the same shape aimed at one trade. It lives in Teams and Slack, it acts inside the ATS and CRM already in place with no migration, and it arrives knowing what a skills dossier is, that an announced availability is optimistic, and that a submission rejected on price creates a rule that holds for months. Nothing reaches a candidate without a person releasing it, and the data stays in Europe.
Comparison
Balt and Viktor, point by point
| Criterion | Viktor | Balt |
|---|---|---|
| Surfaces | Slack and Teams | Slack and Teams |
| Scope | Horizontal, 3,200+ integrations | Vertical: recruitment, staffing, ATS and CRM |
| Execution | Cloud environment that writes and runs code | Cloud environment that writes and runs code |
| Billing | Credits consumed, published tiers from $50/month | Credits consumed. One line: the real cost of the work plus margin, nothing to top up separately |
| Outbound sending | Bounded by the product | Human approval required, rejections included. A design rule, not a setting |
| Hosting | Not documented publicly | Europe, encrypted, model providers contractually excluded from training |
| Trade knowledge | You supply it, on every task | Dossiers, talent pools, availabilities, submissions |
What a credit buys is not the same thing
Both products bill consumption rather than seats, and we are no exception: a credit with us is worth what the work actually cost, the model tokens and the compute time, plus margin. So the pricing model is not a criterion for choosing between the two.
What is, is how many credits the same task consumes. A generalist agent asked for a skills dossier has to learn the expected format, what the client looks at first, what never goes in. You explain it, it understands perfectly well, and that explanation is sent back to the model on every turn. Context is where an agent bill actually goes.
A vertical agent carries that knowledge in its procedures rather than in the conversation, so the same request finishes in fewer turns. That is an architectural argument and it is verified in a week on your own volumes, not taken on trust.
Breadth and depth are a trade, not a ranking
Viktor advertises more than 3,200 integrations and covers domains with no relation to each other. That reach is real, and it comes with a consequence worth naming: an agent built for every domain carries the knowledge of none of them, so the trade has to be supplied by you, on every task, in the conversation.
On billing the two agree, and it is worth saying so plainly: both charge for consumption rather than for seats, which is the right model for an agent. The pricing structure is therefore not what separates them. What a credit buys is.
Where the data sits, and what it takes to move it
Both products are explicit about not training on customer data, and both isolate one workspace from another. On that there is nothing to separate them, and it is worth saying plainly.
The difference is the default. Viktor publishes AWS us-east-1 as its hosting region, with EU data residency available on Enterprise contracts, and holds SOC 2 Type 1 with Type 2 and ISO 27001 in progress. Balt is hosted in Europe on every plan, which is a default rather than a negotiation.
For a firm handling CVs that distinction decides how a conversation with a client’s legal team goes. A CV is personal data in the full sense, and the question of where it sits arrives early, usually from the client rather than from your own team. Having the answer be "in Europe, on the plan you already have" is shorter than having it be "on the Enterprise contract we would need to sign".
How to settle it in a week
A feature comparison will not decide this, since both tick the same boxes. Take thirty real requests from your last three months, including the ugly ones: the incomplete client record, the consultant whose availability moved twice, the requirement written in three lines by a rushed salesperson.
Write the right answer beside each before the first run, otherwise you will judge fluency instead of accuracy. Then count three things no demo shows: how often you have to re-explain your trade, what each does when the record is empty rather than when everything works, and the actual spend on your volumes.
Frequently asked questions
Does Viktor work on Microsoft Teams?
Yes, on Slack and on Teams, which sets it apart from most agents shipped in 2026 that stayed Slack-only. It is a point of convergence with Balt rather than a differentiator between the two.
Can you run both?
Technically yes, and it works only if their context domains do not overlap. Two agents that both know the same client will hold two versions of it that diverge, and the divergence never announces itself.
Is Balt cheaper than Viktor?
Not by the price list, since both bill consumption. The difference shows in how many credits a recruitment task takes, because trade knowledge that has to be re-explained is rebilled on every turn. On finance or support work the reverse holds.
Give Balt its first job.
Twenty minutes is enough to watch Balt work on one of your real openings.