TECHNICAL APPROACH
How we cross from PoC to production.
Getting a PoC that impresses is easy. Reaching production, with SLA, integration, and metrics, is where almost every AI project dies. This is the method that crosses that gap, in custom consulting and in the evolution of our own products.
PRINCIPLES
Five rules that govern everything we build.
The technical version of the company's five values. These are decision criteria used in every engagement, from architecture to handoff.
01
Outcome before stack
The choice of model, framework, and infrastructure is subordinated to the desired outcome. No institutional preference for frontier models or for a specific architecture.
02
Senior engineer as owner
Every project has a senior Levver tech lead as the technical owner, present from briefing to handoff. No bulk staffing of junior people, no disguised outsourcing.
03
Customization over template
The client's actual workflow is the starting point. Frameworks and templates are means to get there, not the product we deliver.
04
Transparent engineering
Repository, architecture decisions, and metrics are visible to the client's internal team from day one. No black box, no permanent dependency on Levver.
05
Production first
Every discovery ends with a defined production criterion. No project is considered delivered until the code is running in the client's environment.
Read also: Why 9 in 10 AI projects die at the PoC
THE METHOD
Discovery. Build. Production and Handoff.
Every engagement, regardless of the commercial format, runs through the same three phases. The duration of each phase varies. The discipline doesn't.
PHASE 01
Discovery
1 to 2 weeks
Mapping the real pain, validating the technology hypothesis, and defining measurable success criteria.
- ·Initial architecture document
- ·Agreed target metrics
- ·Explicit production criterion
- ·Preliminary budget and timeline
PHASE 02
Build
4 weeks to 6 months
System construction with weekly or biweekly cadence. Code review shared with the internal team. Progressive deploy, from staging to controlled production and then full production.
- ·Repository with reviewed code
- ·CI/CD pipelines
- ·Automated evaluation
- ·Documented milestone demos
PHASE 03
Production & Handoff
1 to 2 weeks
Metric observed in real production for at least two weeks. Operational documentation, runbook, and knowledge transfer sessions.
- ·Operations runbook
- ·Complete technical documentation
- ·Handoff sessions
- ·Optional post-handoff support (3 to 6 months)
STACK
Frontier and open source. No religion of stack.
We pick the right model for the right problem. The choice between frontier (Claude, GPT, Gemini) and open source (Llama, Mistral, fine tuned models) is made on technical and cost criteria, not on institutional preference.
Cloud agnostic. Google Cloud, Microsoft Azure, or Amazon AWS, always with what is most secure for the client's environment. Vector databases chosen by workflow fit.
CAPABILITIES
- ·Retrieval-Augmented Generation (RAG)
- ·Supervised fine-tuning
- ·Multi-step agents and tool use
- ·Automated evaluation (LLM-as-judge, eval datasets)
- ·MLOps and observability
- ·Document ingestion and processing pipelines
- ·Backend in Python and TypeScript
- ·Frontend in Next.js and React
- ·Integration with legacy systems (ERP, CRM, helpdesk)
- ·Vector databases and semantic search
GUARANTEES
What you need to operate stays with you.
A Levver engagement isn't a subscription to a proprietary platform. You operate the system autonomously, with accessible code, documentation, and a runbook, without permanent dependency on Levver.
Versioned, accessible code
All code produced is versioned and accessible to the client from week one. No black box.
Ownership defined by contract
Ownership of the custom-built code and the associated intellectual property is defined in the commercial contract of each engagement.
Operations runbook
Operational documentation ready for the internal team to run the system without depending on Levver.
Complete technical documentation
Architecture decisions, model choices, infrastructure configuration. Everything recorded for future review.
Optional post-handoff support
A 3 to 6 month support contract is available, not mandatory. We continue when it makes sense for the client.
SECURITY
How we handle sensitive data.
Each client runs in an isolated instance. Encryption in transit and at rest is an architectural default, not an option. Audit logs for sensitive data access are available on request. Contractual commitment to zero training on client data.
Per client isolation
No mixing of data between tenants. Each client in a dedicated namespace or instance.
Zero training on sensitive data
Information processed in any Levver project does not feed public or internal models. Contractual clause.
Audit log and traceability
Sensitive data access is logged. Available to the client on request. Sensitive operations are always traceable.
Legal basis before processing
We turn down engagements that depend on processing data without a clear legal basis. LGPD and GDPR compliance as an architectural standard.
FAQ
Before you start.
How long until it reaches production?+
It depends on scope. Discovery takes 1 to 2 weeks, Build runs from 4 weeks to 6 months, and Production and Handoff add another 1 to 2 weeks, with metrics observed in real production. Every Discovery ends with an explicit production criterion.
What happens during Discovery?+
Mapping the real pain, validating the technology hypothesis, and defining measurable success criteria. You leave with an initial architecture document, target metrics, a production criterion, and a preliminary budget.
Who owns the code and the intellectual property?+
Ownership of the custom-built code and the associated intellectual property is defined in the commercial contract of each engagement. The code is versioned and accessible to you from the first week, with no black box and no permanent dependency on Levver.
Which cloud and which models do you use?+
Cloud agnostic. Google Cloud, Microsoft Azure, or Amazon AWS, with what is most secure for your environment. For models, frontier (Claude, GPT, Gemini) or open source, chosen by technical and cost criteria, with no stack religion.
How do you handle sensitive data?+
Each client in an isolated instance. Encryption in transit and at rest is standard, not optional. Access audit logs available on request, and a contractual commitment of zero training on client data. LGPD and GDPR compliance as an architectural default.
NEXT CONVERSATION
The best meeting is the first one.
Thirty minutes with one of the founders. A direct conversation. No deck, no committee. You walk away with a prioritized technology hypothesis and a sketched success criterion.