[MIT-founded · senior AI engineering]

We build AI toolsthat actually runyour business.

Logicsmith helps companies turn the data and processes you already have into measurable revenue — whether you're in property management, sports analytics, energy, or fintech. Senior engineering, end-to-end. No transformation theater.

Book intro call →View process
~/logicsmith — zsh
$logicsmith diagnose --scope="workflows,lead-gen,reporting"
auditing current processes and data sources...
mapping manual steps to automation candidates
FOUND 4 OPPORTUNITIES
▸Past customer mininguntouched CRM data→$100Ks in warm leads
▸Revenue forecastingweeks of spreadsheet modeling→real-time simulations
▸Reporting & dashboardshours of manual work weekly→fully automated
▸Internal data accessdigging through 5+ tools→one plain-English query
est. time to first deploy: 4 weeks
$  
HOME BASE/
EVENTELLECT/
SYNMAX/
UDIO/
DELOITTE/
DIGICERT/
POSIT/
POSH AI/
HELLOCREATOR/
HOME BASE/
EVENTELLECT/
SYNMAX/
UDIO/
DELOITTE/
DIGICERT/
POSIT/
POSH AI/
HELLOCREATOR/
// services

Three things we're really good at.

svc.01

Workflow automation & AI agents

Your team asks a question in Slack and gets an instant answer from your own CRM, operational, or reporting data — no digging through five different tools. We've shipped agents like these at multiple organizations.

▸Slack & chat AI agents
▸Automated reporting dashboards
▸NLP pipelines & document analysis
▸Internal copilots on your data
typ. timeline
4–8 weeks
svc.02

Lead generation & enrichment

Custom prospect pipelines that surface high-fit buyers, enrich them with the context your sellers actually need, and route them where work gets done.

▸ML-assisted prospect sourcing
▸Data enrichment & signal scoring
▸CRM-ready hand-off
▸Pipeline analytics & dashboards
typ. timeline
4–8 weeks
svc.03

Strategy & advisory

We've been founding engineers at startups and consulted for large enterprises. We can help you figure out what to build, what to buy, and what to skip.

▸AI roadmap & sequencing
▸Build vs. buy decisions
▸Model evaluation & selection
▸Technical hiring & team building
typ. timeline
2–4 weeks
// process

How we work with you.

t+0

Diagnose

2 weeks

We sit with your team, watch the work, find the bets with the highest dollar impact for the least friction.

t+2w

Prototype

2 weeks

We build a working version against your real data so you can feel it, not imagine it.

t+4w

Deploy

2-4 weeks

We harden the system, train your people, and put it into production with metrics from day one.

t+8w

Hand off

ongoing

Documented, owned by you, runnable without us. Retainer is optional.

// stack

Built on the same tools your engineers already trust.

We pick the right model for the job, write production code in Python / TypeScript, and deploy on infrastructure your team already owns. Nothing proprietary, nothing locked in.

PythonTypeScriptSQLFastAPIPostgreSQLAWSGCPClaudeOpenAILangChainPyTorchSlack APIHubSpotSupabaseQuarto
case_study_01.md
property management · Home Base

A 15-minute manual process, automated down to seconds.

Their sales team was spending 10–15 minutes per lead doing manual research across multiple data sources. We built a pipeline that cross-references public records and third-party APIs to return verified contact details in seconds. Also deployed a Slack AI agent for natural-language queries across their CRM and operational data, plus automated review dashboards that surfaced issues the team wasn't seeing.

2,500+
verified leads generated
~15 min → sec
per lead, from URL to owner
4.50→4.77
review scores (TN market)
// about

Logicsmith was founded by an MIT-trained engineer (BS '17, MEng in AI '19) who has been a founding engineer at two venture-backed startups and teaches AI/ML to 250,000+ subscribers on YouTube.

// next_step()

Want to see if we can help?

Free 30-minute call. We'll talk through what you're working on and give you an honest take on whether AI makes sense for it.