Your Enterprise AI – Private, Governed, Running on AWS
Sphere builds production-grade GenAI applications on AWS Bedrock and SageMaker – RAG pipelines, fine-tuned foundation models, AI agents, and LLMOps infrastructure – with enterprise security, compliance, and governance built in from day one. Move from AI pilot to AI production.
Organizations around the world trust us
Why This Matters Now
Enterprise AI projects have an alarming failure rate: 87% of AI pilots never reach production. The causes are consistent – models that hallucinate on enterprise data, security and compliance gaps that block deployment, lack of LLMOps infrastructure for monitoring and retraining, and AI teams that are exceptional at model research but don’t have production engineering experience.
1. Hallucination Destroys Enterprise Trust in AI
General-purpose LLMs like GPT hallucinate on domain-specific enterprise data at rates of 15–40%. In legal, healthcare, and financial applications, a single wrong answer can cost millions.
2. Security Blocks Production Deployment
Enterprise data cannot be sent to OpenAI APIs without carefully designed privacy architecture. Most AI prototypes are built without production-grade security – and never get cleared by InfoSec.
3. No LLMOps = Model Decay
Without monitoring, retraining pipelines, and model versioning, GenAI applications degrade silently as data distributions shift – with no mechanism to detect or address the decay.
What Sphere Delivers
Sphere's GenAI practice builds on AWS Bedrock's private, VPC-isolated model hosting and SageMaker's ML lifecycle management – ensuring enterprise data never leaves your AWS environment, models are continuously monitored and improved, and every deployment meets your security and compliance requirements.
Enterprise RAG Architecture
Connect your knowledge bases, documents, databases, and structured data to foundation models via Retrieval Augmented Generation – using Amazon Bedrock Knowledge Bases and OpenSearch Serverless for semantic search.
Foundation Model Fine-Tuning
Fine-tune Titan, Llama, Mistral, or Claude models on your proprietary data using Amazon Bedrock fine-tuning or SageMaker training jobs – creating domain-specialized models that outperform general-purpose alternatives.
AI Agents & Orchestration
Build multi-step AI agents using Amazon Bedrock Agents – connecting LLMs to enterprise APIs, databases, and tools for complex, multi-turn task execution.
LLMOps Pipeline
SageMaker MLOps for model training, versioning, A/B testing, and automated retraining. CloudWatch + custom evaluation metrics for continuous performance monitoring.
Governance & Guardrails
Amazon Bedrock Guardrails for content filtering, PII redaction, and topical boundaries. Full audit logging for regulatory compliance (HIPAA, SOC 2, GDPR).
Secure Private Model Deployment
Deploy foundation models inside your AWS environment with VPC isolation, private networking, KMS encryption, IAM-based access control, and end-to-end observability.
Built On Industry-Leading Technology
Built on AWS's core GenAI and machine learning stack, Sphere delivers production-ready systems for retrieval, orchestration, model operations, and monitoring. This technology foundation supports secure enterprise use cases end to end — from knowledge-based assistants and AI agents to fine-tuned models, API integrations, vector search, and ongoing performance control in production.
We'd love to hear from you!
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Who This Is For
RAG-powered internal knowledge assistant replacing manual document search across legal, compliance, HR, and engineering documentation.
AI agent handling 40–60% of customer inquiries autonomously – with human escalation for complex cases and full conversation logging.
Developer productivity tool for code generation, code review, documentation, and test writing – integrated into existing IDE and CI/CD workflows.
Document analysis and data extraction for financial statements, contracts, and regulatory filings – with audit-grade accuracy requirements.
Clinical trial data analysis, regulatory submission drafting, and drug interaction research – built on HIPAA-compliant Bedrock deployment.
Get Your Free GenAI Readiness Assessment
Take Sphere's 15-minute GenAI Readiness Assessment. Our senior AI architects will evaluate your data infrastructure, use case viability, and security posture – and deliver a custom GenAI roadmap within 48 hours. No cost, no obligation.
How It Works
Readiness Assessment
2-week assessment of data infrastructure, security posture, use case viability, and team capabilities.
Architecture Design
Design RAG pipeline, model selection, security architecture, and LLMOps framework.
MVP Development and Hardening
Build and validate core GenAI application – typically 6–8 weeks to working prototype on your data. Then, performance optimization, guardrail configuration, and compliance validation.
LLMOps & Handoff
Deploy monitoring, retraining pipeline, and handoff to internal team with full documentation and training.
Readiness Assessment
2-week assessment of data infrastructure, security posture, use case viability, and team capabilities.
Architecture Design
Design RAG pipeline, model selection, security architecture, and LLMOps framework.
MVP Development and Hardening
Build and validate core GenAI application – typically 6–8 weeks to working prototype on your data. Then, performance optimization, guardrail configuration, and compliance validation.
LLMOps & Handoff
Deploy monitoring, retraining pipeline, and handoff to internal team with full documentation and training.
ROI & Business Impact
8–15x ROI within 12 months
Enterprise GenAI applications built by Sphere achieve average ROI of 8–15x within 12 months. Knowledge management applications reduce employee time spent searching for information by 60–70% (saving $500K–$2M/year for large organizations).
Lower support cost, higher developer throughput
Customer service AI reduces support costs by 35–55% while improving CSAT. Code generation tools improve developer productivity by 20–35%.
Hear from
our clientsHear from our clients
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 and if we did not partner with Sphere to help us achieve our goals.
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. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
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… and for a fraction of the cost. Our experience with Sphere has been exceptional.
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 and if we did not partner with Sphere to help us achieve our goals.
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).
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