Sphere AI Foundry™

Build, Train & Operationalize AI – With Confidence

Sphere AI Foundry™ embeds elite AI engineering pods and human-in-the-loop enablement into your organization to build, train, and deploy AI systems that are accurate, secure, governed, and production-ready.

A New Model for Enterprise AI

Cross-functional delivery teams that integrate directly into your environment to accelerate AI initiatives. Each Pod can include:

AI/ML Engineers

Data & Platform Engineers

AI Product Engineers

MLOps Engineers

RAG & Agentic AI Architects

AI Enablement & Model Shaping

Human expertise where AI needs it most. We work alongside you throughout your AI journey, from prototype to scale and governance.

RLHF & evaluation

RLHF improves a model using human preference feedback – people judge outputs, and the model is adjusted toward what “good” looks like in your operations. Evaluation is the test harness that proves quality before release and catches regressions and drift after deployment.

Human-in-the-loop workflows

Human-in-the-loop means AI can draft or recommend, but humans approve or override at defined steps based on risk and uncertainty. The workflow also logs decisions and handoffs so it stays controllable and auditable.

Domain-specific shaping

Domain shaping makes the system behave like your business by teaching terminology, policies, decision criteria, and edge cases. It’s typically a mix of curated examples, targeted tuning, and domain-specific evaluation.

Bias, trust & security review

This is the gatekeeping layer: bias checks, privacy/data leakage controls, access boundaries, and adversarial testing (including prompt injection). It’s where governance is validated – what the system can do, who can use it, and how it’s inspected later.

RAG + knowledge grounding

RAG connects the model to approved internal sources so responses come from retrieved evidence, not guesswork. Done right, it improves accuracy, keeps answers current, and makes outputs traceable.

Agentic workflows & orchestration

Agentic workflows handle multi-step tasks by planning actions, calling tools/APIs, and verifying results along the way. Orchestration is the control layer that enforces rules, approvals, and safe execution across systems.

Who We Serve

We enable AI that meets the standards of:

Enterprises

Scaling AI beyond PoCs into production

AI-native companies

Accelerating product delivery & reliability

Regulated industries

Where privacy & security matter

Industries include:

Finance & Insurance

Manufacturing

Healthcare

Construction & PropTech

Retail & E-Commerce

Energy

Build AI You Can Defend in an Audit

Governance-first delivery with evaluation, human-in-the-loop controls, and secure MLOps —
so models stay accurate, traceable, and compliant.

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Why Sphere AI Foundry™

When AI has to work in production – under security, compliance, and real user pressure – you need more than extra hands.

Sphere AI Foundry™ builds and delivers operational AI systems end-to-end, focused on measurable business outcomes: faster decision cycles, lower operational risk, and AI that performs reliably inside real workflows. Teams ship to production faster and retain full control over governance, cost, and system behavior.

Production-grade engineering

Secure enterprise deployments

Governed human-in-the-loop

RLHF & domain-driven shaping

RAG-powered accuracy & grounding

Agentic orchestration for workflow automation

Use Case for Your AI Foundry

Logistics:
from passive dashboards
to autonomous decisions

Challenge

A global logistics provider faced fragmented data, manual route planning, and unreliable ETAs. Existing analytics showed problems but didn’t act on them.

Solution

Sphere AI Foundry embedded an AI engineering pod to build a production routing system:

RAG pipelines grounding decisions in delivery history, traffic, weather, and ERP data
Agentic AI for dynamic route optimization
RLHF to improve dispatcher-level decision accuracy
Human-in-the-loop controls for exceptions and overrides

Outcomes

19% improvement in ETA accuracy
27% reduction in manual planning time
Agent-managed routing for 60%+ of deliveries
Full auditability and explainability for operations teams

Challenge

A financial services firm wanted to automate underwriting and risk assessment, but AI outputs lacked consistency, explainability, and regulatory confidence.

Solution

Sphere AI Foundry delivered a governed decisioning system:

RAG grounding models in policy documents, historical claims, and regulatory rules
Human-in-the-loop review for edge cases and high-risk decisions
RLHF to align outputs with underwriter judgment
Secure MLOps with full decision traceability

Outcomes

35% faster decision turnaround
Reduced manual review workload by 40%
Consistent, explainable decisions aligned with policy
Audit-ready AI workflows approved by compliance teams

Financial Services:
scaling AI decisions
without breaking compliance

Enterprise Operations:
turning institutional knowledge into an operational asset

Challenge

A large enterprise struggled with siloed documentation, tribal knowledge loss, and slow decision-making across engineering and operations teams.

Solution

Sphere AI Foundry built an internal knowledge intelligence layer:

RAG systems unifying documents, tickets, SOPs, and historical decisions
Agentic assistants embedded in daily workflows
Human validation loops to prevent hallucinations
Continuous evaluation to keep knowledge current and trusted

Outcomes

50% reduction in time spent searching for information
Faster onboarding of new employees
Fewer operational errors caused by outdated knowledge
A trusted, explainable AI layer across teams

Engagement Models

Flexible. Scalable. Enterprise-ready.

Monthly AI Engineering Pods

Embedded AI delivery teams that ship production features every month inside your environment.

Project-Based AI Enablement

A focused engagement to take one AI use case from requirements to production.

Subscription HITL & RLHF Programs

Ongoing human feedback + evaluation that continuously improves accuracy, safety, and reliability in live AI systems.

Explore AI Engineering Pods

Hear From Our Clients

Selah Ben-Haim VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford Senior Product Manager at Enova Financial

I would expect to be delighted. It’s been a really positive experience, working with Sphere, and I would expect you to have the same.

Mark Friedgan CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.

René Pfitzner Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and work with us.

Bruce Burdick Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team. We simply couldn't achieve our production ambitions without their service.

Jemal Swoboda CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction. The deliverables are always high-quality.

Arthur Tretyak Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE…

Lee Ebreo VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system. We augmented our development team capabilities using Sphere’s developer, who works very well with our Dev Lead in Chicago. Sphere’s developer was an expert in the new system, and continues to be an expert as we evolve it.