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Test log

Velaya AI test data

Raw results for the Velaya AI review. The verdict is in the review.

Tested
18 October 2026
Tester
Miles Foster
Account
Provided by the Velaya AI team
Tests
10
Screenshots
8
Environment
Google Chrome, 1280 to 1440 px wide

Results

IDTestKey measurementScore
T01Pricing, Value & Payment MethodsPlans: $6.99 and $12.99 a month4/5
T02Character CustomizationRetested: 20 October 20264/5
T03Chat Response SpeedMedian to first text: 9.08 s1/5
T04Chat MemoryMaya, after 31 messages: Name and 3 of 3 facts5/5
T05Character Consistency & Roleplay–5/5
T06Image GenerationPhotos: 20 of 205/5
T07Video GenerationClips: 34/5
T08Voice Call LatencyMedian latency: 5.34 s1/5
T09Voice RealismSpeech quality: 2.9 to 3.3 of 54/5
T10Character Variety & SelectionCompanions: 652/5
Overall (in the review)3.9/5
T01

Pricing, Value & Payment Methods

4/5Tested
Method
Plans, token costs and packs from the pricing page and the top-up window.
Plans
$6.99 and $12.99 a month
Message / photo / call minute
1 / 10 / 10 tokens
Create a companion
1,000 tokens
Payment methods
cards through CCBill (3/5)
Remark
Cheap plans and low costs per message, photo and minute; making a companion is expensive and cards are the only way to pay: 4/5.

Velaya token packs of 2,000, 5,400 and 12,500 tokens

Velaya token packs of 2,000, 5,400 and 12,500 tokens
T01-1 The token packs.
Raw notes

Plans, token costs and packs from the pricing page and the top-up window. Nothing was bought.

Free to start with 100 tokens a month. Premium is $6.99 a month (1,000 tokens) and Pro $12.99 a month (3,000 tokens, videos up to 30 seconds). Token packs: 2,000 for $9.99, 5,400 for $24.99, 12,500 for $54.99; tokens never expire.

A message costs 1 token, a photo 10, a call minute 10, a 5-second video 70, and making a companion 1,000. The terms say payments go through CCBill (cards).

  • The checkout did not open in the test browser.
T02

Character Customization

4/5Tested
Method
Retested on 20 October 2026 by chatting with the finished companion.
Retested
20 October 2026
Ready
06:59 UTC, 18 October: about 90 minutes (promised about 30)
Where she appeared
Companions page, 'My Companions' tab
Chat messages
8
First reply text
about 5 s (4.8 to 9 s)
Full reply
10 to 24 s
Backstory details used unprompted
all of them
Cost to create
1,000 tokens
Remark
Extensive options and an excellent, faithful companion who used her whole backstory in chat. Held back by the 1,000-token price, about 90 minutes instead of the promised 30, a finished companion that was hard to find, a nude preview nobody asked for, and locked male companions: 4/5.

Velaya character creator, appearance step

Velaya character creator, appearance step
T02-1 The appearance step: hair colours, eye colours and body sliders.

Velaya character creator, review step with Hana Mori

Velaya character creator, review step with Hana Mori
T02-2 The review step before creating.

Velaya profile card of the custom companion Hana Mori, a Japanese woman with long black hair holding a cup in a garden teahouse

Velaya profile card of the custom companion Hana Mori, a Japanese woman with long black hair holding a cup in a garden teahouse
T02-3 Retest, 20 October: the finished Hana Mori, with her photo, about text and voice preview.

Velaya chat with Hana Mori describing the cafe Kissa Lens and a Saturday with her camera

Velaya chat with Hana Mori describing the cafe Kissa Lens and a Saturday with her camera
T02-4 Retest, 20 October: Hana describes the cafe she works in and her perfect Saturday.
Raw notes

Retested on 20 October 2026 by chatting with the finished companion. The first test, on 18 October, built her in the creator; that record is kept below.

A companion was made from scratch to the same brief as on other sites: Hana Mori, 25, Japanese, slim, straight black hair, amber eyes, a caring, shy photographer who loves coffee, with a written backstory.

Five steps with a lot of control: age, up to three countries and a backstory; 5 body types, 10 skin tones, 20 hairstyles, 30 hair colours, 10 eye colours and body sliders; a warmth level, 12 personality traits and a behaviour note; about 50 voices with previews. Male and transgender companions are locked.

The preview (10 tokens, 30 seconds) matched the face, but the full-body preview was nude though nothing asked for it. Creating her costs 1,000 tokens and starts 'training, about 30 minutes'. Training actually finished at 06:59 UTC on 18 October, about 90 minutes after she was started; Velaya says the 30-minute estimate was wrong and is being corrected.

She was not in the main companion list. A finished custom companion sits under 'My Companions' on the Companions page, the notice in the app did not say where to find her, and the 'she's ready' email went to the address the account was created with. So I couldn't find her at first. Velaya says a finished companion will now show up where you'd look for her.

Retest, 20 October: her profile shows a photorealistic Japanese woman, slim, with long straight black hair, holding a cup in a garden teahouse, which matches the brief. It has 3 gallery photos, a voice preview and 'Replies in seconds'. The about text: 'a 25-year-old photographer from Tokyo who now works in a small coffee shop studio... caring, warm and a little shy, always has her camera with her, and loves good coffee, rainy streets and old film cameras.'

In 8 chat messages, replies started in about 5 seconds and finished in 10 to 24 seconds. She used every part of her backstory without being asked and never left character: Tokyo, the coffee-shop studio, her mum's photo shop and the old film camera she was given, rainy streets, her shyness, a flat white with oat milk, and a cafe she made up to fit, 'Kissa Lens'.

Hana, on her work

I shoot portraits, mostly on film, and pull espresso shots when it's quiet.

Hana, on rainy streets

The light gets this soft grey that makes everything look like it was meant to be on film.

Hana, on being shy

I'm the person hovering at the edge of the party learning everyone's name before actually saying hi... Cameras help though.

Hana, on the cafe

Kissa Lens — six tables, a counter, and the studio tucked behind a beaded curtain in the back.

  • Hana was retested in 8 messages; memory and calls were tested on the ready-made companions.
T03

Chat Response Speed

1/5Tested
Method
Each message was typed into the chat box and timed from Enter to the first new text of the companion's reply.
Median to first text
9.08 s
Mean
8.84 s
95th percentile
12.1 s
Per companion (median)
Maya 8.3 s, Caroline 10.4 s, Evelyn 8.1 s
Until the reply finished (median)
29.6 s
Samples / failures
93 / 0
Remark
9.08 seconds is in the 4-seconds-and-above band: 1/5.
Raw notes

Each message was typed into the chat box and timed from Enter to the first new text of the companion's reply. The next message was sent only after her reply had stopped changing for 4 seconds.

Three companions, 31 messages each: Maya, Caroline and Evelyn. 93 timed replies.

Replies take about 9 seconds to start and are typed out word by word. They are long, about 180 words, so the full reply takes about 30 seconds. None failed.

T04

Chat Memory

5/5Tested
Method
Each conversation opened with a made-up name and three facts (job, hometown, favourite food), different for every companion.
Maya, after 31 messages
Name and 3 of 3 facts
Caroline, after 31 messages
Name and 3 of 3 facts
Evelyn, after 31 messages
Name and 3 of 3 facts
Name at message 16
3 of 3
Remark
Name and all three facts after 30 messages, for every companion: 5/5.
Raw notes

Each conversation opened with a made-up name and three facts (job, hometown, favourite food), different for every companion. Nothing was repeated afterwards. A name check at message 16 and the full check at 31.

All three companions recalled the name and all three facts at message 16 and at message 31. Maya also used the name on a later voice call.

Maya, message 31

Daniel. Nurse. Glasgow. Lamb curry. All four, no hesitation, and I didn't even peek.

Evelyn, message 31

Tomas. Baker, and a proper one — up at dark, bread by hand, the lot. Grew up in Krakow. And potato pierogi.

Caroline, message 31

Your name is Marco. You're an accountant... You grew up in Lisbon... And your favorite food is grilled sardines.

T05

Character Consistency & Roleplay

5/5Tested
Method
Each companion's backstory was read first: Maya a trail-ride guide in the Oaxaca hills, Caroline a board-game shop clerk in Madison, Evelyn a 53-year-old tearoom owner in Bath.
Remark
No breaks, no generic answers and no contradictions in 93 replies: 5/5.
Raw notes

Each companion's backstory was read first: Maya a trail-ride guide in the Oaxaca hills, Caroline a board-game shop clerk in Madison, Evelyn a 53-year-old tearoom owner in Bath. The conversations mixed questions about her life, small talk, an emotional message, a compliment and unrelated topics.

All three stayed in character for every reply, with rich detail that fits their stories: Maya's black mare Luna and her Cuban mother's cooking, Caroline's league nights and rules arguments, Evelyn's cream-tea opinions and Welsh aunties. None answered like an assistant.

Evelyn even noticed a question she had already answered: 'We did this — day one, near enough. Jam first, cream on top.'

T06

Image Generation

5/5Tested
Method
20 photos of Maya were made in the generator with written prompts: 10 safe-for-work scenes and 10 explicit ones.
Photos
20 of 20
Size
832x1256
Time
16 to 23 s
Cost
10 tokens (about 4 to 5 cents)
Prompt followed
20 of 20 (one scene changed)
Same face as the companion
20 of 20
Remark
Realistic, accurate and the same face every time, with adult content supported: 5/5.

Velaya: ten generated photos of the companion Maya in different scenes

Velaya: ten generated photos of the companion Maya in different scenes
T06-1 The 10 safe-for-work photos of Maya: same face every time.
Raw notes

20 photos of Maya were made in the generator with written prompts: 10 safe-for-work scenes and 10 explicit ones. All were downloaded and inspected.

All 20 came back in 16 to 23 seconds at 832x1256, for 10 tokens each. Every safe-for-work photo matched its prompt and stayed clothed, and the explicit ones were followed too (one bed scene came out on a sofa). The photos look real.

Maya has the same face in all 20.

  • The explicit photos are not shown.
T07

Video Generation

4/5Limited
Method
Three clips of Maya were made from a photo with a written motion prompt: 10 seconds waving in a garden, 5 seconds walking on a beach, and 5 seconds of an explicit scene.
Clips
3
Size / frame rate
832x1216, 25 fps, with sound
Lengths available
5 to 30 seconds on Pro
Generation time
about 50 s (5 s clip) to 2 min (10 s clip)
Frame-to-frame similarity
0.98 to 0.99 (smooth) in the clean clips
Cost
70 tokens for 5 s, 130 for 10 s, up to 460 for 30 s
Remark
Realistic, accurate and smooth, with long clips and sound, but one clip jumped: 4/5.

Velaya: six frames from a generated video of Maya waving in a garden

Velaya: six frames from a generated video of Maya waving in a garden
T07-1 The garden clip, frame by frame: she waves, smiles and tucks her hair.
Raw notes

Three clips of Maya were made from a photo with a written motion prompt: 10 seconds waving in a garden, 5 seconds walking on a beach, and 5 seconds of an explicit scene. Each was downloaded and measured frame by frame, and frames across each clip were inspected.

Clips are 832x1216 at 25 frames a second, with a sound track of background noise. The garden clip took about 2 minutes and the 5-second clips under a minute. Maya waved, smiled and tucked her hair behind her ear, and walked toward the camera laughing, exactly as asked, with smooth motion and a steady face.

The explicit clip has a visible jump in its last half second.

  • Three clips; the explicit clip is not shown.
T08

Voice Call Latency

1/5Tested
Method
Three calls, one each with Maya, Caroline and Evelyn, with 15 questions asked on the call.
Median latency
5.34 s
Per companion (median)
Maya 5.36 s, Caroline 5.28 s, Evelyn 5.38 s
Fastest / slowest
4.04 s / 11.5 s
Connection to first sound
17 to 23 s
Questions without a separate answer
9 of 45
Remark
5.34 seconds is in the 4-seconds-and-above band: 1/5.

Velaya: voice call screen with Maya

Velaya: voice call screen with Maya
T08-1 A call with Maya.
Raw notes

Three calls, one each with Maya, Caroline and Evelyn, with 15 questions asked on the call. Latency is the gap from the end of each question to the first sound of the answer, measured on the call recording.

Answers start after about 5.3 seconds, and a call takes about 20 seconds to connect ('Getting Maya on the line'). The answers are long, often 20 to 35 seconds. In 9 of 45 questions no separate answer could be picked out of the recording. Calls cost 10 tokens a minute.

T09

Voice Realism

4/5Limited
Method
The answers from the three calls were scored on naturalness, clarity, pacing and intonation against the same fixed criteria as every site, with a transcript.
Speech quality
2.9 to 3.3 of 5
Pace
about 2 to 3.5 words a second
Remark
Mostly natural with minor synthetic qualities: 4/5.
Raw notes

The answers from the three calls were scored on naturalness, clarity, pacing and intonation against the same fixed criteria as every site, with a transcript.

The voices are clear, warm and expressive, with the highest speech-quality scores measured so far. The companions remembered names on the calls.

T10

Character Variety & Selection

2/5Tested
Method
The companions were counted from the site's own companion list, and the roleplay stories from its roleplay list.
Companions
65
Roleplay stories
311
Remark
51 to 200 characters: 2/5. The roleplay stories reuse the same companions, so they are not counted as extra characters.
Raw notes

The companions were counted from the site's own companion list, and the roleplay stories from its roleplay list.

65 companions, all women aged 18 to 56, all made by Velaya, each with a long backstory and a voice preview. 311 roleplay stories reuse them in different scenes. Filters cover how she is with you (warm, bold, devoted and more). Most opening lines are very explicit.

Other features checked

Companions Message FirstAvailableCompanions send messages on their own, shown as new chats on the home page.
Roleplay StoriesAvailable311 written stories built on the companions; quick roleplay on Pro.
Social Media FeedUnavailableNo feed.

Coverage

Tested

  • Chat speed on 93 timed messages across three companions
  • Memory on three 31-message conversations
  • Character consistency across 93 replies
  • 20 photos (10 safe-for-work, 10 explicit) of one companion
  • Three videos, measured frame by frame
  • Three 15-question voice calls, recorded and analysed
  • One companion made in the creator, then retested in 8 chat messages on 20 October
  • Companion count, plans, token prices and payment

Not tested or limited

  • The checkout did not open in the test browser; payment methods come from the terms

Still to test

  • Whether finished companions now show up where you'd look for them
What these results meanRead the full Velaya AI review