LLM orchestration, predictive models, and computer vision — grounded in evaluation, security, and measurable business outcomes.
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AI features shipped
0%
Avg. ticket deflection
0%
Eval pass targets
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Faster insight cycles
We help teams ship AI features that are observable, evaluable, and safe — not demos that collapse under real users.
Retrieval, agents, fine-tuning, and MLOps are designed around your data boundaries and compliance needs.
Evaluation-first delivery
Private data controls
Model-agnostic routing
Human-in-the-loop paths
What We Offer
A complete set of capabilities that combine into one accountable delivery program.
Assistants, copilots, and content systems with citation and guardrails.
Secure retrieval over your docs, tickets, and knowledge bases.
Classification, extraction, and semantic search at scale.
Document, quality, and visual inspection models in workflow.
Forecasting and scoring models tied to decisions.
Training, registry, monitoring, and rollback for model lifecycle.
Wire models into existing CRM, ERP, and support stacks.
Feasibility, ROI framing, and architecture recommendations.
Why Choose Us
Senior ownership, secure engineering, and delivery discipline on every engagement.
Senior engineers who have shipped enterprise systems at scale.
Architectures that grow with traffic, teams, and product scope.
Security reviews, least-privilege access, and compliance-aware delivery.
Clear milestones, weekly demos, and predictable release cadences.
Short feedback loops so priorities stay aligned with business goals.
Post-launch ownership with monitoring, fixes, and roadmap guidance.
Our Process
Requirement Gathering
Workshops and audits that define the real problem and success metrics.
Planning
Scope, architecture options, and a delivery plan your stakeholders can track.
UI/UX Design
Flows, prototypes, and design systems that reduce rework in engineering.
Development
Iterative sprints with CI, code review, and production-grade quality bars.
Testing
Automated and exploratory QA across functional, performance, and security risks.
Deployment
Safe releases with observability, rollbacks, and clear ownership.
Maintenance
Ongoing improvements, patches, and capacity planning after launch.
Technology Stack
Featured Projects
Business Benefits
Automate Work
Remove repetitive cognitive tasks from expert teams.
Better Decisions
Score and forecast with transparent evaluation.
Faster Support
Assistants that cite sources and escalate safely.
Secure AI
Tenant isolation and retention controls by design.
Lower Risk
Eval sets catch regressions before users do.
Portable Stack
Avoid lock-in with model routing layers.
The Difference
Before
PoCs stuck in notebooks
No evaluation discipline
Unclear data boundaries
After
Production AI services
Versioned eval gates
Private, auditable deployments
Measured Impact
Accuracy
91%
Latency budget
86%
Automation rate
78%
Trust / citation
89%
Industries We Serve
Healthcare
Education
Real Estate
Finance
Retail
Logistics
Travel
Manufacturing
Food Delivery
SupportPilot
VisionQC
RiskSignal
Helix
CareBridge
Pulse
SupportPilot
VisionQC
RiskSignal
Helix
CareBridge
Pulse
Meet the Team
Dr. Amir Hassan
AI Architect
Julia Novak
ML Engineer
Ravi Patel
Applied NLP Lead
“They treated evaluation as a product requirement, not an afterthought.”
Dr. Helen Cho
SupportPilot
FAQs
Can't find what you're looking for? Reach out and we'll walk you through it.
Contact SupportYes. We embed with your product and engineering teams, extend your codebase, and only propose stack changes when ROI is clear.
All work product is assigned to you. Access is least-privilege, NDA-first, and aligned to SOC2-style operating practices.
We start with a discovery audit, stabilize delivery pipelines, then ship the highest-risk fixes before new feature work.
You get a dedicated delivery lead, weekly demos, shared boards, and transparent burn reporting.
Fixed-scope milestones, dedicated squads, or retainers — chosen based on roadmap certainty and urgency.
Yes. Maintenance plans cover monitoring, incident response, patches, and continuous improvement.
Book a consultation. We clarify goals, propose an approach, and share a starter plan with timeline and team shape.
Grab guides, checklists, and case studies related to ai & machine learning.
Share a few details and we'll get back within one business day.
Talk to our team about goals, timeline, and team shape — no pressure, just a clear plan.
