Intelligence engineering,
built by the people who run it.
Seneca Consulting Group is an intelligence-engineering practice. We do the data engineering, build AI systems and agents on top of your data, and ship the governance that keeps AI output reliable — across cloud-native and on-prem deployments. AI-assisted, team-verified: every line we ship is reviewed by an engineer before it lands.
- Founded
- 2019
- Approach
- Scope → build → hand-off
- Focus
- Data · AI · Governance
Schematic — your stack replaces the labels; the shape holds.
Four overlapping practices.
One named engagement lead across all of them.
Real-estate investment, fintech, accounting, and e-commerce teams hire us when the data engineering, AI, and governance work is too specialised for a generalist consultancy and too small for a systems integrator to staff well.
Data engineering & pipelines
Replace brittle legacy stacks with maintained, observable pipelines. Modeling, ingestion, and event-driven designs tuned to your throughput — across any cloud, or on hardware you already own.
- Pipelines
- dbt
- Orchestration
AI systems & agents
Models and agents built on your data, with your tools. Retrieval, evaluation, and the plumbing around them — so the system holds up under real load, not just the demo.
- Models
- Agents
- Evaluation
Governance & verification
A named person stands behind every build. Audit trails, verification artefacts, and the policy rails that keep AI output reliable and human-owned.
- Audit
- Verification
- Policy
Database & integration architecture
Schemas, partitioning, and replication for analytics and OLTP. Cloud-native or on-prem — the right store for each workload, mapped cleanly to your integration seams.
- Schema
- Partitioning
- Cloud-agnostic
Four steps.
Accountable from kickoff to hand-off.
We do not pyramid engagements. The same team that scopes the work is the team that builds it and the team that hands it off — and one named engagement lead carries ownership across all four steps.
01 / Discover
A scoped first read of your stack
We start by walking the data — sources, transformations, downstream consumers. You leave the call with a written snapshot of what is working, what is fragile, and what we would change first.
02 / Design
A blueprint you can scrutinise
Before any line of code, we produce a written architecture: components, contracts, failure modes, and cost. We do not propose work we cannot defend on the page.
03 / Build
Team-verified, AI-assisted delivery
Our engineers build end-to-end. When AI accelerates delivery, we review, verify, and stand behind every output — or it does not ship. You are hiring our team, not a tool.
04 / Hand off
You own everything we built
Code, infra, runbooks, verification artefacts, and a written post-mortem. We document the system — including its AI surfaces and audit trail — so your team can run it without us, and so a reviewer can trace any output back to the person who approved it.
Teams that hire us for
data, AI, and tight timelines.
Each of these teams hired Seneca for at least one engagement and credited us publicly for data engineering work, AI work, or reliable execution.
- Proclivity Systems
- Width.ai
- Turnkey
- Revere
- JTaylor Accounting
- Fresh Prints
What teams ask before signing.
If your question is not here, ask it directly — there is no intake form, no SDR queue, and no auto-responder.
Tell us what is on fire —
or what should be, and isn’t yet.
Send a short note describing the system, the data, and the deadline. We reply within one business day with a written read on whether we are the right team to take it.
- Based
- Santa Monica, CA
- Status
- Veteran-owned
- Hours
- PT · async-first
- Reply
- ≤ 1 business day