Pipelines That Move Themselves Forward

Custom CRMs and SDR agents built around your sales motion, not Salesforce's idea of how you should sell. Self-optimizing outreach, intelligent pipeline management, and reporting that actually shows what's working.

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Sales teams have been told for two decades that their CRM is the source of truth. In practice, the CRM is half-empty, the data is stale, and the reps are spending more time entering data than selling. The promise of AI in sales is to invert that. AI handles the data work, reps handle the selling. But the off-the-shelf tools (Salesforce Einstein, HubSpot AI) are bolted onto products designed for a different era. Custom AI-native sales systems start from a different premise: the system handles the pipeline, the rep handles the relationship.

What we build

What we build in Sales

AI-native CRMsCustom CRMs designed for how your team actually sells. Pipeline stages, deal logic, and reporting built around your motion rather than templated for "B2B SaaS." Self-hosted, fully owned, no per-seat fees.
SDR and outreach agentsAI agents that draft personalized outreach, follow up at the right cadence, and surface responses for human review. Compresses outbound from a full-time job to a manageable workflow.
Pipeline intelligenceAI surfaces deals at risk, suggests next-best actions, and forecasts pipeline based on your real data rather than rep gut feel.
Lead scoring and routingBehavioral and firmographic scoring combined into routing logic that gets the right lead to the right rep within minutes.
Sales operations automationQuote generation, contract workflows, commission calculations, and forecasting automated end-to-end.
Conversation intelligenceCall recording, summarization, and pattern analysis that surfaces what your top reps do differently. And trains the rest of the team.

Where this lands

Industries that use this most

Real estate teams use AI-native CRMs for instant lead response and follow-up sequences. Financial services firms use compliant CRMs that respect regulatory requirements. SaaS companies use SDR agents for outbound at scale. Recruitment firms use candidate-pipeline systems that double as CRM for hiring managers.

Sample workflow

Sample workflow: AI-native CRM for a real estate agency

01Lead arrives via web, REA, Domain, or direct inquiry
02AI agent qualifies intent in seconds, drafts personalized first-touch response
03Lead routes to right agent based on property, location, and agent availability
04If agent doesn't respond within 5 minutes, automated SMS goes to lead
05Pipeline tracked end-to-end with reporting on lead source ROI, agent performance, and conversion patterns

This pattern is from a real Thinkiyo build. Anonymized; full reference available on call.

Stack

Tech we work with

Custom PostgresSupabaseNext.jsTwilioSendGridOpenAI / AnthropicCalendar APIsDocument signing APIsHosted on your infrastructure

Frequently asked about Sales

Why build custom instead of using Salesforce or HubSpot?

Three reasons: per-seat economics get expensive at scale, the data model is generic and forces you to map your motion onto it, and you don't own the system. Salesforce does. Custom CRMs make sense when your sales motion has specifics that templates can't accommodate, when per-seat costs exceed $50K/year, or when full ownership matters strategically.

Can you migrate us from our existing CRM?

Yes. Migrations are part of most engagements. Historical data preserves, integrations rebuild around your real workflows, and the team transitions over a phased rollout. Typical migration timeline is 4 to 8 weeks depending on complexity.

How do SDR agents avoid sounding like spam?

Personalization at the level of "we noticed you raised $20M Series B last week and your VP Sales mentioned the team is buried in manual quoting" is qualitatively different from "Hi {first_name}, I came across your profile." The agents are trained on your ICP, your value props, and your tone. The output is closer to a junior SDR's first draft than to mass-blast spam, and a human reviews before send.

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