Tejas AI
AI recruiting tool that sources and screens candidates from 1B+ profiles on a natural language search.
Tejas AI sells the loop recruiters actually lose time on: find the shortlist, then get replies. The 1B+ profile claim is large and worth stress-testing on your own hard-to-fill roles during the 14-day trial. Watch the Starter ceiling — 50 searches and one seat at $299/mo runs out fast for a solo desk.
Last checked 2h ago · cite: rightaichoice.com/tools/tejas-ai
- Recruiters filling niche or hard-to-source roles where keyword search fails
- Startups and scale-ups that need more sourcing throughput without adding headcount
- Agencies that want shortlist and outreach in one workspace instead of two tools
- Talent teams whose reply rate, not candidate volume, is the bottleneck
- Solo recruiters who will blow past 50 searches a month on the Starter plan
- Teams needing deep ATS customization or approval workflow automation
- Companies whose main need is nurturing an existing talent pool rather than net-new sourcing
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Skip Tejas AI if you run high-volume, low-ticket reqs on a solo seat — the $299 Starter tops out at 50 searches a month and you'll burn through that in a week.
Fifty searches a month on Starter sounds generous until you run three niche reqs at once — past the cap you're looking at Pro at $799/mo, a 2.7x jump rather than a top-up.
At $299/mo for one seat and 50 searches, Tejas AI is priced for agencies and funded in-house teams, not solo recruiters testing a side req. The $799/mo Pro tier undercuts enterprise sourcing platforms but sits well above entry sourcing tools. If per-search volume matters more than the outreach loop, cheaper sourcing-only tools exist. Enterprise is custom, so the real number depends on seats and integrations.
In short
Tejas AI — AI recruiting tool that sources and screens candidates from 1B+ profiles on a natural language search. Best for Recruiters filling niche or hard-to-source roles where keyword search fails, Startups and scale-ups that need more sourcing throughput without adding headcount, Agencies that want shortlist and outreach in one workspace instead of two tools. Free to start; paid plans from $299/mo.
What people actually say about Tejas AI — is it worth it?
We scanned public community sources for Tejas AI on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Tejas AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Neural candidate search across 1B+ profiles (vendor-stated)
- Natural language candidate search written from a job description
- AI candidate scoring and relevance ranking
- Personalized multi-channel outreach messaging
- Shared team workspace for recruiter collaboration
- Searches 30+ candidate data sources
- 60-second setup
- 14-day free trial on every plan
- Unlimited searches on Pro
- Analytics dashboard for team performance (Pro)
- API access (Enterprise)
- SSO (Enterprise)
- GDPR and SOC 2 compliance positions (Enterprise)
- ATS, CRM, and email integrations documented by category (Enterprise)
- Job-market content library: experience letter, biodata, salary and career-path guides
About Tejas AI
Tejas AI is a sourcing-and-screening platform for recruiters who need to fill niche roles fast. You describe the candidate you want in plain language, and the engine runs neural search across a claimed 1B+ profiles pulled from 30+ data sources, then scores and ranks the shortlist by relevance. From there you send personalized multi-channel outreach from a shared team workspace instead of exporting names into a separate sequencing tool. The workflow is sourcing-first. Setup is pitched at 60 seconds and every plan carries a 14-day free trial. Starter is $299/mo for one recruiter seat and 50 searches, Pro is $799/mo for up to five users with unlimited searches, an analytics dashboard, and the shared workspace. Enterprise is custom and adds API access, SSO, and GDPR/SOC 2 compliance; ATS, CRM, and email connections are described as a category rather than by name. Beyond the product, Tejas runs a large library of Indian job-market content — experience letter formats with 8 role-wise samples, biodata samples, a Salem consultancy ranking, and an analysis of 1,512 TCS-to-Google career histories. That material serves employer-brand and SEO goals more than it serves the recruiting engine. Against Gem and Hirelogic, the pitch is the combined sourcing-plus-outreach loop rather than passive pipeline management: shortlist and contact in one place, at a fixed monthly price.
Behind the Verdict
The honest question with any sourcing tool is whether the matches hold up on roles that are genuinely hard. Tejas wants you to answer that with a 14-day free trial, which is the right way to buy here: load three of your ugliest reqs and see what comes back before you talk about annual pricing. We'd reach for it when the bottleneck is shortlist quality and reply rate, not when you already have a warm pipeline sitting in a nurture sequence. Pricing is where you need to do the math. Starter at $299/mo gets one recruiter seat and 50 searches. If you're a solo recruiter working a handful of roles a month that may land; if you're running a full desk, 50 searches evaporates in a week and you're really buying Pro at $799/mo for five users and unlimited searches. The analytics dashboard and shared workspace live on Pro, so the team tier is the one most agencies will end up evaluating. Where it bites: the ATS, CRM, and email connections are documented as a category, not by name, and they sit on Enterprise. If your stack is non-negotiable and integrations have to be named before a pilot, budget time for a sales conversation or consider staying with whatever already writes back into your ATS. Compared with Gem, the split is direction. Gem skews toward pipeline management and analytics on top of sourcing. Tejas skews toward net-new sourcing with outreach bolted in, so it suits teams hunting candidates who aren't in anyone's database yet. If your problem is nurturing people you already know, this isn't the fix. One more thing worth knowing before you sign: a good chunk of Tejas' public output is Indian job-market content — experience letter templates, biodata samples, a Salem consultancy list, a TCS-to-Google career-path study. Useful if you hire in that market and want the
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Real-world workflow fit
Concrete scenarios for the personas Tejas AI actually fits — and what changes day-one when you adopt it.
You paste the job description into Tejas AI's natural-language search, review the ranked shortlist of scored candidates, then send personalized multi-channel outreach from the shared workspace.
Outcome: A ranked shortlist and outbound messages in one pass, instead of exporting candidates into a separate sequencing tool.
Both recruiters open the same shared workspace on the Pro plan, divide the ranked shortlist, and track which candidates have been contacted from one place.
Outcome: No duplicate outreach and one view of the pipeline, using the Pro tier's team workspace and analytics dashboard.
You run the 14-day trial against one genuinely difficult req — a specialist engineer — and check whether the AI-scored matches hold up before committing to $299/mo.
Outcome: A concrete read on match quality for your niche, and a clear decision on whether the 50-search Starter cap is workable for your volume.
Use Cases
- Fill niche roles like data scientists or engineers without a long sourcing slog
- Raise sourcing output per recruiter without adding headcount
- Lift reply rates with personalized AI-drafted outreach
- Review and rank a shortlist together in a shared recruiter workspace
- Test match quality against one genuinely difficult req during the 14-day trial
Limitations
- The live evidence scraped today describes a WhatsApp-based job agent aimed at job seekers (reads job postings, filters ghosts/near-misses, sends tailored ATS-ready résumés), not the recruiter-facing sourcing/screening product described in the existing profile — product scope should be verified directly on the vendor site.
- The evidence names no underlying AI models, no specific third-party integrations, and no published pricing tiers or search limits.
- Platform and API claims in the existing profile (web, mobile, api, Enterprise API access, SSO, trial limits) are not corroborated by the scraped pages.
as of 2026-09-14
Verification history
We have re-verified Tejas AI 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Tejas AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$299/mo
Ideal for
One recruiter testing a single niche req who wants the full neural search and outreach loop without a team.
What this tier adds
Starting tier: one seat, 50 searches per month, AI scoring, and the 14-day free trial.
Pro
$799/mo
Ideal for
A small recruitment pod or agency desk of up to five people running multiple open reqs at once.
What this tier adds
Adds unlimited searches, up to 5 users, the team workspace, and the analytics dashboard.
Enterprise
Custom
Ideal for
Larger talent teams with procurement requirements — SSO, compliance sign-off, and system integration needs.
What this tier adds
Adds API access, SSO, GDPR/SOC 2 compliance positions, custom seats, and ATS/CRM/email integrations.
Where the pricing makes sense
The company stage and team size where Tejas AI's pricing actually pencils out — and where peers do it cheaper.
At $299/mo for one seat and 50 searches, Tejas AI is priced for agencies and funded in-house teams, not solo recruiters testing a side req. The $799/mo Pro tier undercuts enterprise sourcing platforms but sits well above entry sourcing tools. If per-search volume matters more than the outreach loop, cheaper sourcing-only tools exist. Enterprise is custom, so the real number depends on seats and integrations.
Setup time & first value
How long it actually takes to get something useful out of Tejas AI — broken out by persona, not the marketing-page minute.
Vendor claims 60-second setup. Realistically, a solo recruiter can describe a role and see a ranked shortlist in the first session — call it under 30 minutes to a usable trial result. A team pod should budget an hour to get both recruiters into the shared workspace and aligned on the outreach templates, since the team features live on the Pro tier.
Switching to or from Tejas AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual LinkedIn Recruiter sourcing: keep your saved searches as reference and re-express them as natural-language job descriptions in Tejas AI.
- →From a sourcing-only tool: run the same req in Tejas AI for a shortlist, then use its outreach instead of exporting candidates to your existing sequencer.
- →From a full ATS: Tejas AI covers sourcing and screening, not requisition or approval workflow, so plan to keep your ATS as the system of record for Enterprise-tier integrations.
- ↗To Gem or Hiretual: expect to lose the built-in outreach loop and rebuild sequencing separately, but gain deeper talent-pool nurture.
- ↗To a full ATS: export your candidate lists before switching, since Tejas AI covers sourcing rather than requisition management.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Tejas AI”, and we withheld 6: 6 could not be judged, because “Tejas AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Tejas AI.
Official links
Tools that pair well with Tejas AI
Common stack mates teams adopt alongside Tejas AI, with the specific reason each pairing earns its keep.
Juicebox PeopleGPT
AI recruiting platform whose PeopleGPT natural-language search scans 800M+ profiles and whose agents source and email candidates for you.
CLODO
Natural-language people search across 1.5B+ profiles, with contact enrichment and outbound sequences in one workflow.
Manatal
Manatal pairs an AI-driven ATS and recruitment CRM with a 24/7 AI Interviewer that video-screens candidates automatically.
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Juicebox PeopleGPT
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