The Platform
Kriya AI Mind.
Where 27 named agents run on one shared deal memory.
A skill is a prompt someone runs when they remember. A mind is a system that remembers on its own. Kriya AI Mind is the platform behind every Sales Kriya deployment: a fleet of specialised agents on one shared deal memory, verified against your live CRM and today's LinkedIn roster.
27 named agents wired into one shared deal memory. Every node reads from and writes to the same source of truth.
Why a mind and not a skill
Ask five reps on your team to run the same account-research skill on the same target account, on each rep's own Claude. Same prompt.
You will get five different outputs.
Every rep's Claude has different session history, different context bleed from other deals, different memory of what they told the model last Tuesday. When that rep quits, their Claude quits with them. Whatever they built walks out the door.
Ask five reps to open the same account in Kriya AI Mind. Same output. Same buying-centre map. Same recommended next action. Because they are looking at the same deal memory, not five separate model sessions.
That is the difference between a session and a system.
Under the hood
Five things a mind does that a skill cannot.
Deal-scoped memory
Every open deal has its own memory. What happens on Acme stays with Acme. Context does not bleed into Widgets Inc when a rep pastes signals into the same Claude session. Cross-deal patterns surface as explicit insights, not as hallucinated context.
Live-source verification
Every stakeholder is confirmed against today's LinkedIn roster (pulled live via Apify) or flagged as 'verify before contacting.' Not the model's training window from six months ago. Not a press release from 2023.
Tier-aware routing
Extraction on Haiku. Reasoning on Sonnet. High-stakes strategic output on Opus or Fable when the deal size earns the tokens. Not every skill call runs on the newest, most expensive tier by default. Cost per deal is auditable.
Source-of-truth pipes
Every feature claim in a deck, every stakeholder name in a buying-centre map, every price in a proposal traces back to a source the seller can click. When the source is missing, the agent flags the gap for a human instead of inventing an answer.
Persistence across reps
When a rep leaves, the deal memory stays. The new rep on the account starts with everything the previous rep knew: the objections quoted verbatim, the stakeholder map, the champion candidate, the last touch timestamp. No knowledge walks out the door.
The Agent Fleet
27 named agents. One shared mind.
Each agent has one job. All of them read from and write to the same deal memory. When the Account Research learns something on Monday, the Meeting Brief uses it on Tuesday. When the Meeting Recap captures an objection on Wednesday, the Deal Strategy reworks the plan on Thursday.
Account Research
Researches a target account from public and connected sources
Buying Committee Map
Builds a live buying-centre map with roles and access paths
Competitor Intel
Surfaces where a competitor sits in the deal and how to counter
Deal Strategy
Writes the plan to advance a specific deal to the next stage
Meeting Brief
Prepares a one-page brief for every meeting on your calendar
Call Coaching Agent
Scores every call against a stage-aware rubric and coaches on evidence
Meeting Recap
Writes structured minutes with next steps and open questions
Reply Drafting
Ranks the inbox, drafts replies, tracks commitments
Sequence Builder
Writes multi-channel sequences personalised to the account
Deck Builder
Builds a customised deck for the account using approved templates
Playbook Zones
Codifies your winning motion so every rep runs it the same way
Pipeline Dashboard
Ranks deals P0, P1, P2 with movement and risk flags
Morning Planning Agent
Runs at 7am and tells you the three things that matter today
Task Tracker Agent
Pulls open CRM tasks by account and pushes updates back
Conversational Agent
Ask anything about a deal, an account, a rep, or the pipeline
This is the visible fleet. Additional infrastructure agents (orchestrator, router, memory writer, doctrine loader) run underneath.
Proof
We ran the head-to-head last week.
Anthropic's packaged account-research skill against our Account Research Agent and Buying Committee Map. Same target account. Same input.
The skill recommended cold-emailing a Chief Revenue Officer whose appointment was announced 32 months ago and a Chief Strategy Officer who is not in the current employee roster. It also invented a Chief Marketing Officer name that does not match anyone at the company today.
Our agents caught it in the same run window because Kriya AI Mind verifies every stakeholder against the live LinkedIn roster before surfacing the name to a rep.
Put Kriya AI Mind on one of your live accounts.
Pick a real target account. We will run the Account Research and Buying Committee Map on it in the same window Anthropic’s skill would take, and hand you both outputs so you can decide which one you would let your team act on.
Prefer the architecture diagram first? See how it wires together.
How we compare
Comparing Sales Kriya to another sales AI vendor?
Honest 2026 reads against Gong, Outreach, Salesloft, Clari, Trumpet, Clarify, DevRev, and Revenue Grid. Where each wins, where Sales Kriya is different, side-by-side tables, and the questions buyers actually ask in the room.
Sales Kriya vs
Gong
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Sales Kriya vs
Outreach
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Sales Kriya vs
Salesloft
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Sales Kriya vs
Clari
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Sales Kriya vs
Trumpet
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Clarify
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Sales Kriya vs
DevRev
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Sales Kriya vs
Revenue Grid
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Sales Kriya vs
Anthropic Skills
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Zoho Zia
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Sybill
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Avoma
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Explore the rest
Read what matters to you. Or read it all.
77% of B2B buyers say their last purchase was very complex or difficult.
Gartner, B2B Buying Journey research
Every SDR tool, agency, and AI scheduler gets you the meeting. None of them help you win the deal that happens after it.
Know moreHow we work27 named agents. A playbook in 2 to 4 weeks. 6 to 12 months to make it muscle memory. Works with our leader, your hire, or your existing VP.
Sales Kriya reads your stack, runs the prep, scores deals, and writes the work back to your CRM. A human leads the strategy. The platform scales them.
Know moreThe productBuilt by sales operators who lived the problem. Buy the platform, the partnership, or both.
Reads your CRM, email, calendar, chat, and call transcripts. 27 named agents do the prep, score the deals, and write work back into your tools.
Know moreArchitecture27 named agents inside your live enterprise deals every week.
Your stack on the left. The Sales Kriya Cloud agent fleet in the centre. Your team and tools on the right. The full loop, end to end.
Know morePartnersYou get paid yearly for as long as the client is paying us. Co-marketing rights. Design-partner input on the roadmap.
For fractional CROs and sales consultants. We pay rev share on every account you refer, help with the implementation, and give co-marketing rights.
Know moreProofTwo deals at the same stage. One closes at 23%. The other dies at 6%. Accurate forecasting, not stage guesses.
Every live deal gets a score that adapts to its stage, stakeholders, plays run, and the rep selling it. Board-ready forecast. One click shows the math.
Know moreIs this a fit?We commit to 6 to 12 month partnerships. Four conditions have to be true. We talk it through honestly before either of us invests more time.
Some teams should not work with us, and we will say so before either of us invests more time. Here is who we work with, and who we do not.
Know moreFAQ20 questions across 4 sections. Straight answers. No qualifiers.
How long the engagement is, what the embedded leader actually owns, what we need from you to start, how we measure progress, why we're named Sales Kriya.
Know moreInsightsCRM forecast errors. Ghosted demos. The myth of the hero salesperson. What to do instead.
Written from inside real deals. Concrete, specific, and free of marketing fluff.
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