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Tercer Labs
AI Engineering for Enterprise Operations

Enterprise AI.
Built for Real Work.

Tercer Labs designs and builds AI systems, custom software, and automation that businesses actually adopt — engineered around your data and workflows, not a generic template.

Flagship AI products shipped
3
Flagship AI products shipped
Industries we build for
7
Industries we build for
Focused on adoption, not just delivery
100%
Focused on adoption, not just delivery

Built on infrastructure you already trust — no proprietary lock-in

OpenAIAnthropicAWSGoogle CloudMicrosoft AzurePostgreSQLNext.jsPythonKubernetesVercelOpenAIAnthropicAWSGoogle CloudMicrosoft AzurePostgreSQLNext.jsPythonKubernetesVercel
What We Do

Seven disciplines. One engineering team.

Every engagement draws on the same team — no handoffs between a 'strategy' group and an 'engineering' group.

AI Enterprise Solutions

Custom AI systems built around your data and workflows — not a chatbot bolted onto existing software.

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Custom Software Development

Enterprise-grade applications engineered for your business logic, not adapted from a generic template.

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AI Automation

Workflow automation with judgment built in — systems that decide, not just execute fixed steps.

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Generative AI

Production-grade generative AI features — drafting, summarization, and content generation grounded in your data.

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AI Agents

Autonomous systems that plan, use tools, and complete multi-step work — with humans in control of the outcome.

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Data Platforms

Data infrastructure that makes analytics, reporting, and AI possible in the first place.

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Cloud Solutions

Cloud architecture and infrastructure engineered to scale reliably — and to stop surprising you on the bill.

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Products

Software we built to prove the thesis.

Advantum, RECVR, and Advait are flagship products engineered by Tercer Labs — live proof of how we build AI systems people actually adopt.

Advantum video walkthrough preview
Watch Demo
Practice Management

Advantum

Practice management built for firms that bill by the hour and can't afford to lose one.

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RECVR video walkthrough preview
Watch Demo
Time & Billing Intelligence

RECVR

Time and billing intelligence that turns logged hours into revenue you actually collect.

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Product preview coming soon
Document Intelligence

Advait

AI document intelligence for drafting, review, and contract lifecycle management.

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Why Tercer Labs

We measure outcomes, not features shipped.

Every engagement is judged against the outcome it was built to produce.

Reduce Manual Work

Automate the repetitive steps that consume your team's day so they can focus on judgment calls, not data entry.

Deploy AI Faster

Skip months of trial and error — we bring a proven process for taking AI from idea to production.

Enterprise Security

Role-based access, encryption, and audit trails designed in from the start, not retrofitted after a scare.

Rapid Development

Iterative releases mean you see working software in weeks, not a single delivery at the end of a long timeline.

Scalable Architecture

Systems designed for the scale you're growing into, so you don't rebuild from scratch in eighteen months.

Modern UX

Interfaces people actually want to open — because adoption, not delivery, is the metric that matters.

How We Work

A process built to survive contact with reality.

Seven stages, the same team throughout, and a loop back to improvement instead of a hard stop at launch.

01

Discovery

We map your workflows, data, and constraints before proposing a single line of architecture.

02

Strategy

We define what success looks like, what to build first, and what genuinely doesn't need AI.

03

Architecture

We design the system — data, models, infrastructure — for your actual scale and compliance needs.

04

Development

We build in iterative releases, with your team seeing working software early and often.

05

Testing

We test against real scenarios and edge cases, not synthetic happy-path demos.

06

Deployment

We roll out with monitoring, training, and rollback plans in place from day one.

07

Continuous Improvement

We track adoption and outcomes after launch, and keep iterating — the engagement doesn't end at go-live.

Case Studies

Outcomes, not anecdotes.

Illustrative engagements showing the kind of before-and-after we build toward. Metrics are anonymized to protect client confidentiality.

Legal

Cutting billing cycle time for a regional legal consultancy

A multi-partner legal consultancy replaced manual time entry and billing narratives with an automated capture and drafting workflow.

9–10 business days3–4 business days
Read the case study
Finance & Professional Services

Replacing month-end reporting with real-time visibility

A professional services firm consolidated financial reporting from six disconnected spreadsheets into a single real-time analytics platform.

5–7 days after month closeReal-time
Read the case study
Legal

Cutting first-pass contract review time for an in-house legal team

An in-house legal team facing rising contract volume introduced AI-assisted clause-level review to reduce first-pass turnaround.

~2.5 hours~35 minutes
Read the case study
Testimonials

What operators say after go-live.

“We finally have a clear picture of what's happening inside the firm without waiting for a month-end report. That alone changed how we make decisions.”

Managing Partner

Regional legal consultancy

“The team didn't just build what we asked for — they pushed back on the parts of our process that didn't need automating and focused on the parts that did.”

Director of Operations

Mid-sized professional services firm

“Adoption was never a fight. The system was simple enough that people started using it in the first week without training sessions.”

Head of Technology

Financial services firm

“What used to take our team a full day of manual reconciliation now runs automatically before anyone gets to their desk.”

Finance Manager

Retail operations group

FAQ

Questions we hear before a first call.

If yours isn't here, ask us directly — we'd rather answer it than let it slow you down.

Let's build something your team will actually use.

Tell us about the workflow you're trying to fix. We'll tell you honestly whether AI is the right answer.