The best TitanX alternatives in 2026

If your goal is more live conversations without buying another data subscription, our pick is CallCloud: a parallel dialer that dials up to five prospects at once and learns who answers from your own call history, with hot and cold numbers built into every workspace and no bought phone intent data. We are $125 per seat per month, month to month, with unlimited calls and minutes. TitanX sells something different, standalone Phone Intent scoring plus a single-line Precision Dialer, so the right alternative depends on which of those jobs you actually need done.

This page is written by us, so we will say plainly where each option fits better than we do. TitanX is a real product with strong customer stories and a 4.9/5 G2 rating. The question is not whether it works, it is whether it is the right tool for the problem you have.

What is TitanX?

TitanX is a precision outbound company founded by Joey Gilkey. It announced a $27 million Series A from Updata Partners on January 20, 2026 and reports more than 300 customers. Its core product is Phone Intent, a score described on its own product page as the "behavioral propensity of a specific individual to answer a cold call." In their words, "It tells you who picks up."

TitanX sells two things:

Phone Intent scoring, which scores your existing list in tiers: P1 (right person with answering behavior), P2 (right person without those markers), P3 (active number not verified as belonging to the contact), and NA (bad data). It also enriches missing numbers through a waterfall drawing on six vetted data vendors.
The Precision Dialer, a single-line dialer that combines Phone Intent, Smart Stream, number-health monitoring, and reporting. TitanX says moving reps onto this dialer is how you get the full platform value.

Scale claims need the right units. TitanX says it has analyzed over 100 million phone numbers and more than 10 billion data points across 42 countries. Neither figure is a count of contacts you can buy, and the 10 billion figure refers to analyzed data points in its scoring model, not calls.

What reviewers say: G2 shows 4.9/5 from 22 reviews, which is strongly positive but a small evidence base. Reviewers praise connect rates, time saved, and support. The dated criticisms that exist are about cost and credit economics (February 2025 reviews calling credits "not cheap"), the fact that you still need to clean and prepare your lists, and occasional waits for data delivery. There is no verified evidence of accuracy failures or integration problems, and we will not invent any.

Pricing: TitanX publishes credit consumption (1 credit per phone scored, 3 for Titan scoring, 6 for enrichment plus scoring) but no dollar prices. An undated TitanX-branded pilot deck reported a $900 minimum for 2,000 credits, but that is not a confirmed current rate. Ask them directly.

Customer results: TitanX-published case studies report connect rates going from 5-8% to 18-25% at Vanta, 4-5% to 19-20% at BillingPlatform, and 8-9% to 25% at InvestNext. The Sifted story has the clearest test description, a side-by-side comparison with the same team and calling window, though not randomized or independently audited. These are real customer accounts, not independent benchmarks.

How to choose between the alternatives

Three different buying jobs hide behind the phrase "TitanX alternative," and mixing them up is where the money gets wasted:

Score or improve the list you already have. You want to know who to call first.
Get better phone numbers. You do not trust your data, and scoring garbage is still garbage.
Dial more efficiently without buying any data at all. You want throughput and rep minutes back.

A useful rule: a scored subset answering more often is not the same as more qualified meetings across your whole list. If only 20% of your list scores P1 and the other 80% never gets dialed properly, your total conversation count can fall even as your P1 connect rate rises. Judge every option on total live conversations per week, not the connect rate of the filtered subset. We will apply that rule to each category below.

Phone data vendors: fix the numbers first

If your real problem is that your numbers are wrong, scoring will not save you. These vendors sell or verify contact phone data:

Vendor	What it offers	Published price
Cognism	Phone-verified mobiles (Diamond Data), verified by calling numbers and confirming the person	Quote only, packages include 5 seats
SalesIntel	Human-verified direct dials and mobiles, 250 full-time researchers plus a research-on-demand network	Quote only
ZoomInfo	Direct dials and verified mobiles at enterprise scale	Quote only
Kaspr	LinkedIn-based contact data with checked phones	Starter EUR45/user/month billed annually
Apollo	Contact data plus sequencing and engagement	Basic $49/user/month annually, free plan available
Lusha	Phone reveals with prospecting workflows	Starter $37.45/month billed annually, 5 credits per phone reveal
UpLead	Contact credits including mobile direct dials	Essentials $74/month billed annually, 170 credits

The trade-off for this whole category: a better, human-verified number does not tell you the person answers cold calls. Cognism is explicit about this distinction, it calls numbers to confirm the right person owns them, which is an identity claim, not an answer-propensity claim. If your connect problem is "the number is wrong," buy data. If it is "the number is right but nobody picks up," data vendors will not help.

Dialers with built-in pickup scoring: prioritize as you dial

These platforms combine dialing with some form of pickup prediction:

Nooks scores Pickup Likelihood from each number's call history and aggregated platform signals. It re-scores as your calls accumulate, but it also uses cross-workspace signals, and its ratings are only visible inside the Nooks dialer. Pricing is a custom quote. It publishes a directional 15-50% relative lift above workspace average, measured June 2025 to June 2026.
Orum has Hot Numbers built from aggregated connection history across platform calls. Orum's December 2023 explanation cited over 100 million calls made on Orum as the signal base. Pricing is quote only with a 9-seat minimum.
Salesfinity scores US mobiles with Boss Mode, grading P1/P2/P3 using carrier checks and activity scores, and caches results for up to six months. Gold is $299/user/month with 500 Boss Mode credits monthly, priced September 30, 2026.
Koncert offers DR Score tiers from observed behavior, with an optional human-call verification layer. Dollar prices are not published; it claims P1 numbers yield roughly one live answer per four dials.
SureConnect is the closest standalone substitute for TitanX's scoring job in this shortlist: it labels which contacts on an uploaded list are likely to answer. It costs $249/user/month billed yearly with 12,000 annual credits, one credit per number, and it only works on +1 country-code numbers.

Apply the total-conversations rule here. These tools lift the connect rate on the numbers they can score, but coverage matters: Salesfinity's activity grades only cover US mobiles, and SureConnect only +1 numbers. If half your list cannot be scored, your unscored half is dialed blind, so ask what percentage of your actual list gets a score before comparing prices.

The no-new-data approach: learn who answers from your own dials (CallCloud)

This is where we come in, and we will make the case once, concretely.

CallCloud builds dialers for outbound sales teams. The Web Dialer dials up to five prospects at once in the browser and connects your rep to whoever answers, at $125 per seat per month, unlimited calls and minutes, month to month. If you prefer single-line dialing, the Power Dialer is $60 per seat per month.

Here is the part that makes us a genuine alternative to buying phone intent: hot and cold numbers are built into the dialer for every workspace, and each number gets its pickup likelihood from your own call history. Numbers that picked up before read as Hot and get dialed first. Numbers with three or more rung-out misses and no pickup read as Cold. No data is bought, and nobody pre-calls your prospects.

Your own history is a strong signal. In our own dialing data, a number that has picked up before converts to a conversation on the next dial at 27%, against 6.6% for a number never reached, and under 1% after eight unanswered tries. A parallel dialer gets the "who answers" answer as a by-product of real sales calls with a rep ready, instead of paying someone to call your prospects first.

There is also a coverage question that pooled scores rarely answer honestly. Across CallCloud customers, fewer than 1 in 250 numbers dialed was dialed by more than one company. A score pooled across other companies' calls has seen very few of the numbers on your list.

The honest limits: if your numbers are simply wrong, our dialer cannot fix that, and a data vendor like Cognism is the better first purchase. If you need a score exported to a non-CallCloud workflow, TitanX's API or SureConnect's list scoring does that job and we do not. We are the right pick for the team whose bottleneck is conversations per rep-hour, whose data is decent, and who wants pickup intelligence without a second data contract.

Two supporting facts about call quality: our measured answer-to-rep bridge has a median of 22 milliseconds, so the rep is in the room before the prospect says hello, and under 2% of CallCloud numbers are flagged as spam on our own fleet. You can see the details on our zero-lag and spam-rating pages, or book a demo.

Other own-list dialers

Keeping your existing data but skipping parallel dialing leaves two options:

PhoneBurner does single-line dialing with contact import and Connect Scores that filter disconnected and unlikely-to-connect numbers. Standard is $140/user/month billed annually.
ConnectAndSell offers human-assisted and AI dialing with number prioritization, advertising 10x conversations per hour. That is a throughput claim, not a pickup probability. Seat pricing is quote only.

The difference is mechanism: PhoneBurner is single-line, and ConnectAndSell's model is conversation throughput per hour rather than learned pickup scoring from your dials.

How phone intent data is actually made

Across the industry, "who answers" signals are produced in a few documented ways:

Verification calls to confirm identity. Cognism describes calling numbers to confirm the intended person picks up. Data Axle has described making 25 million business-verification calls annually. These calls confirm who owns a number, which is different from predicting who answers a sales call later.
Pooled call outcomes. Nooks documents training its Pickup Likelihood on call outcome data aggregated across its platform, and Orum has described Hot Numbers as built from over 100 million historical platform calls. The signal comes from many companies' dials being aggregated.
Number scanning, sometimes called pinging. Ofcom, the UK regulator, explicitly identifies number-scanning calls, calls placed to discover whether a number is active, as misuse under its persistent misuse policy. Put the pieces together and a lot of "who answers" data starts with somebody calling your prospect for no reason except to see whether they pick up: verification teams, AI calling services such as PhoneVerify, and optional human-call tiers such as Koncert's Premium. Where those callers sit and who employs them is almost never published. We are not attributing pinging to any named vendor, because the public documentation does not establish it for any specific one. TitanX's own published explanation says its algorithm "involves humans and technology" and does not detail the calling procedure beyond that.

The question worth asking any vendor: who placed the last call that produced this score, when, and what did the prospect experience? If the answer is "your own dials," the prospect experienced a normal sales call. If it is anything else, someone may have already burned one of your touches.

How to decide: a checklist

Count your working numbers. If a large share of your list has bad phones, buy data first (Cognism, SalesIntel, ZoomInfo) before any dialer or scoring.
Decide whether you need a portable score or an in-dialer prioritization feature. TitanX offers an API and CRM workflows; Nooks' ratings stay inside its dialer; our hot and cold numbers live in our dialer.
Ask what percentage of your actual list can be scored. Coverage limits (US-only, +1-only) shrink the effective value of any score.
Price in the right units: dollars per live conversation with the right person, including seats, credits, and enrichment, not headline connect rates.
Pilot on a matched list, and measure total live conversations and meetings across the entire list, not just the high-score subset.

FAQ

What is the cheapest TitanX alternative?

For scoring an existing list, SureConnect is $249/user/month billed yearly with 12,000 annual credits, though it only covers +1 numbers. For dialing without buying data, our Power Dialer is $60 per seat per month with unlimited calls, and the parallel Web Dialer is $125 per seat per month. TitanX itself does not publish dollar prices, only credit consumption, so a true cost comparison requires a quote.

Does TitanX work?

The available evidence says yes, with limits. It has a 4.9/5 G2 rating from 22 reviews, and its published case studies report connect rates roughly tripling at companies like Vanta, BillingPlatform, and Sifted. Those are vendor-published accounts rather than independent benchmarks, and reviewers still note that cost, list preparation, and rep coaching remain your job.

What is the difference between phone intent and buying intent?

Phone intent predicts whether a specific person answers cold calls. Buying intent signals whether a company is researching a purchase. TitanX's own definition is the "behavioral propensity of a specific individual to answer a cold call." A high phone intent score means the phone rings and someone picks up, it says nothing about whether they want to buy.

Can CallCloud replace TitanX?

If you use TitanX mainly to prioritize who to call, yes: our hot and cold numbers learn from your own call history, and in our data a number that has picked up before converts on the next dial at 27%. If you need scores exported to other systems via API, or you use TitanX's enrichment waterfall to fill in missing numbers, those are jobs we do not do today, and a data vendor plus our dialer is the better combination.

Which TitanX alternative is best for international calling?

For scoring, check geography before price: Salesfinity's activity grades cover US mobiles only, SureConnect covers +1 numbers only, and TitanX lists 42 countries of coverage.

Do I need to buy phone data at all?

Not necessarily. Across our customers, fewer than 1 in 250 numbers dialed was dialed by more than one company, so if you are dialing your own CRM list, a score built from your dials covers your list without a second contract. If your list data is stale or thin, buy data first, because dialing and scoring bad numbers wastes both.